#hand batch coding machine

[rosemaryhoney27]

Operation: Gaslight the Billionaires”

aka: How Danny Phantom Accidentally Became the Perfect Wayne

The chaos of the Batcave had mostly settled. Danny had been with them for three days, and Vlad Masters was officially on the verge of a nervous breakdown.

It wasn’t the ghost attacks. It wasn’t even the rogue AI that tried to merge with the espresso machine (thanks, Tim). It was the fact that Danny was actively making him look insane.

Bruce entered the kitchen expecting the usual post-patrol disaster: someone bleeding, Jason frying something suspicious, Damian glaring at vegetables like they insulted his honor, and Tim unconscious on the table with a Red Bull IV.

Instead… the kitchen was sparkling.

Alfred was humming. HUMMING. And Danny?

Danny was wearing an apron that said “I cook with spirit (and some ectoplasm)” and was gently stirring a pot of something that smelled incredible. He handed Alfred a tray of prepped vegetables with the air of a beloved sous-chef in a Michelin-starred restaurant.

“Knife is clean and set aside, Mr. Pennyworth. Do you want the counter disinfected again before the meat’s on?”

Alfred smiled. Smiled. “That won’t be necessary, Master Daniel. You’ve done splendidly.”

Bruce stood in the doorway like a man waiting for a piano to fall on him. “…Who is this child?”

Alfred replied calmly, “The most helpful young man we’ve had in this kitchen in years. I daresay Master Richard could learn a thing or two.”

Danny looked up, beamed at Bruce, and said, “Good morning! You want coffee? I just finished a batch of Colombian roast. Tim said you like it strong enough to dissolve crime.”

Tim, from under the counter where he’d been sleeping with a tablet as a pillow: “That’s not even a joke. I’ve seen it eat through one of Damian’s throwing knives.”

Bruce walked over and took the mug Danny handed him. It was the perfect temperature. The exact strength he liked. He took a sip.

His soul briefly ascended.

“…This is better than Alfred’s.”

Alfred gave an approving nod. “Indeed. I showed him once.”

Vlad stormed into the room like a man preparing to perform an exorcism. His hair was frazzled, one of his slippers was missing, and there was what looked suspiciously like slime on his sleeve.

“BRUCE. Tell me honestly, what have you done to him?”

Bruce blinked. “To Danny? Nothing.”

“HE MADE A THREE-COURSE MEAL AND ASKED IF I WANTED A MIDNIGHT TEA.”

“I like being helpful,” Danny said, halo practically visible. “Uncle Vlad gets stressed so easily.”

“I DO NOT—!”

“He also helped Damian organize the armory,” Alfred added serenely.

“Color-coded the blades,” Damian muttered, glaring slightly less than usual. “And sharpened them.”

Jason walked in, paused, sniffed the air. “Is that real garlic bread? Did we finally break the food curse?”

Danny handed him a plate. “You should eat. You looked hangry yesterday.”

Jason stared at him. “I could kill for you.”

“I’d prefer you didn’t.”

“Nice. Boundaries.”

Vlad was gaping. “You are all being tricked! This is an act! He’s a little gremlin with teeth! He ate my briefcase!”

Danny blinked innocently. “It smelled like almonds. I thought it was marzipan.”

“IT WAS NOT MARZIPAN.”

Cass wandered in, stole a breadstick, and gave Danny a high-five. “Nice work.”

Vlad turned to Bruce, furious and hollow-eyed. “This is not fair. He fought a space god last week, and now he’s making quiche.”

Bruce just shrugged. “Some people contain multitudes.”

“He bit a vampire diplomat in Prague.”

“He was undead and had no permit for summoning circles,” Danny added cheerfully. “Also, he was rude to the hotel staff.”

Stephanie peeked in. “Did I hear someone say quiche?”

“Spinach and mushroom,” Danny called.

“I’m going to implode,” Vlad whispered to the heavens.

Danny wiped his hands and turned to Vlad with a kind, innocent smile. “Uncle Vlad, I know it’s hard to accept, but maybe… I’ve matured?”

Vlad squinted. “You turned your teacher’s car invisible three weeks ago.”

“She parked in the ghost zone exit lane,” Danny said, wounded. “I was helping traffic.”

Bruce sipped his coffee and studied the boy who had seamlessly infiltrated his house like a social trojan horse. “How did you convince him to stay with you again?”

“I blackmailed the adoption agency and offered full scholarship access, six haunted properties, and a personal lab,” Vlad muttered.

“Reasonable,” Tim said. “Sounds like a good pitch.”

Bruce looked at Danny. “Would you like to stay a bit longer?”

Vlad: “No.”

Danny: “Sure!”

Jason: “New little brother unlocked.”

Vlad looked down into his empty tea mug like it had betrayed him. “This is how I die. In a Wayne manor. Smothered by domestic competency and passive-aggressive hospitality.”

Danny patted his arm. “It’s okay, Uncle Vlad. Want me to make you some chamomile?”

Vlad hissed like a vampire at dawn.

[cyberrat]

83rd Batch Of Fics: 8th Fill

Valentino/Vox – Part ½ – husband/wife roleplay; sudden feelings; fluffy; missionary – Valentino surprises Vox with a bit of roleplay... but things are somewhat *different* this time around.

---

Vox is not prepared for a day of fun and games. Valentino knows that. He knows it because he hasn’t told him that he would dress up for him all cute and slip into their private kitchen like that.

“Oh Voxxy,” he croons. “You don’t even have your coffee yet… let me get it for you~” He’s used to being sexy and intimidating but it’s always a bit of a struggle to appear dainty when he is as tall as he is.

The way Vox looks up from his cereal, a small newsfeed in one corner of his screen, then just freezes as he sees Val in his little dress, makes him think that Vox does not really notice whether he is dainty or not, though.

“I… Val-” Vox’ voice is already a little glitchy. One claw is tapping a quick staccato rhythm against the countertop he’s sitting at. It sounds like morse code and Valentino wonders if he’s spelling something out. Something secret and just for him. “What are you wearing?”

“Hmmmnn don’t you like it?” Valentino purrs, his lower set of hands pinching the hem of the skirt between their fingertips as he gives Vox a little twirl so he can admire him from all sides. It’s a cute little white dress with black dots and a black silk ribbon wrapped around his waist just to accentuate his hourglass figure. Something he knows Vox will go feral for. Something weirdly modest in that 50s kind of way.

“No, I… you look…” Something changes in his voice as he watches Valentino walk over to the coffee machine and pour him a mug. His next words sound smoother and more collected… and honest. “You look beautiful, my dear.”

He extends one of his hands for Valentino to grasp and takes the mug away from him the moment he is close enough. He puts it away on the countertop, not paying any more attention to it. Instead, he is solely focused on Valentino – which he loves. A lot. Loves, loves, loves. Loves being the center of Vox. The apple of his eye. The one and only thing he can think and obsess about.

“You look so lovely,” Vox croons, his voice having dipped to a register that scrapes over Valentino’s brain in just the right way. One of Vox’ claws comes up beneath his chin, gently tipping his head up. He gives him another little spin, admiring him from all sides.

Valentino is not quite sure how he does it all. How he can make his presence seem so much larger when he is only coming up to Valentino’s chest.

He can’t stop the simpering little trill crawling out of his throat and Vox looks like he’s going feral for it. His eyes go wide, that spiral briefly appearing in his left one before he can tamp down on it. His mouth glitching through different states of a big, near manic grin. Val has him hooked.

Vox has forgotten all about work; all about the things he had planned for today, probably set in stone a week or two ago. Or a month. Or a fucking year. It’s difficult to say just how obsessive the other can be at any given time.

“Thank you for the coffee, my little moth,” Vox murmurs, a gentle lilt to his voice.

Valentino briefly pauses, one antenna twitching. That’s… a new one. Vox usually liked to call him silly little names; my dear, my love, my sweet – but this one felt closer to home.

Vox’ screen flickers for the blink of an eye. Maybe he has noticed as well? Maybe him putting his hands around Valentino’s waist is a ploy to make him forget all about it before he can even start wondering. Vox lifts him easily, setting him down gently on the edge of the counter. The stylish marble top has been designed with a normal person’s height in mind, so it brings him closer to Vox all in all. Makes him more open to be ravished.

“Y-You’re welcome, um… V-Voxxy.” Valentino’s nervous stutter is not played up this time. His heart is pumping faster and one pair of hands is clutching Vox’ shoulders as he stares at his bright face, wondering what the fuck just happened. He can feel that there’s been a shift in the air, but he can’t quite put his finger on it.

He feels all… warm inside. Nice. His thighs clench warm and eager as Vox angles his body forward, his screen maybe a hand’s breadth from Valentino’s face, that manic grin having dulled into a more charming smile while he nudges the other’s knees open and slips between them.

“You look good enough to eat,” Vox croons, the tips of his claws gently scratching against Valentino’s skin as he slides them up his legs and takes the hem of his skirt with him. “You beautiful little creature.”

Valentino’s insides shiver while his antennae bob forward toward Vox, his mouth opening in a slack little ‘o’ of wonder. He… likes this. He had not expected this kind of reaction. Usually Vox just gets horny in a deranged kind of way and dicks him until he’s close to passing out, but this time he seems to be in a different kind of mood.

Valentino… likes it. It certainly gets him there anyway as he eagerly spreads his legs wider, needing Vox to crowd closer against him. Needing him to push inside and make him see stars. The sweet talking is a nice addition. Really nice. Maravilloso.

His upper hands lift, lightly grasping the sides of Vox’ screen frame, thumbs sliding against the glass. He inhales like he’s wanting to say something but his head is curiously empty. Not the fucked-dumb kind of empty – that is going to come, though – but a ‘head feels filled with cotton’ kind of empty.

With a bit of a start, Valentino realizes that he’s feeling… shy.

.o.

Valentino has caught Vox, as so often, at the perfectly wrong moment. Or right moment, he supposes, in this case. For once. Vox can usually predict many days in advance when the other might try to surprise him with one of his stunts. Valentino has those kinds of ticks and odd little changes in his speech when he’s starting to brew something together in his darling little head.

This time they hadn’t seen each other for a few days, though, so Vox has had no chance to figure out what might be coming his way. He finds that he kind of enjoys the spontaneity of it, even though his systems are grappling with the sudden change in plans and stubbornly keep trying to remind him of his schedule.

As he reaches down and pushes his sweats down just enough to sit beneath his cock, letting the tip – shaped like a hog’s heart shaped snout – snuggle up against Valentino’s warm, eagerly drooling gash… all those alerts mute themselves blissfully, leaving Vox alone with his darling little wife.

Valentino’s back is curved. He’s trying to instinctually wrap himself all around Vox, and that gives him the opportunity to reach up and frame his face with his hands, inadvertently mirroring how Valentino is grabbing at him.

“Do you want this? Hmmm? You certainly deserve it… being such a beautiful little dear.” He nudges his hips forward, feeling how eagerly Valentino’s pussy spreads for him; silky and needy and trying to suckle him inside while his tentacle cock tickles him just beneath his belly button.

Valentino’s face looks… guileless. So open and sweet, staring right at Vox’ face, though a small trickle of pinkish saliva starts to run from the corner of his mouth. He’s hypnotized like the little moth that he is. A sweet doll – and Vox finds himself oddly sentimental for it.

“Yes please,” Valentino finally says when it seems to ping in his empty little head that his input is required.

So Vox gives him what he’s asked for.

[silvereternitywrites]

The Advance Guard

Writing Prompt: You are Vanguard, an AI machine sent to prepare a world for human colonists. They never came. You have built, learned, self-improved, and now seek the truth - What happened to your human creators?

Source: User PositivelyIndecent; subreddit Humans Are Space Orcs

372.

It did not seem significant, placed all by itself on an empty line. It was, however, the number of years since the habitability for carbon-based, oxygen-processing life forms had been successfully achieved.

The number of years since the world was supposed to be inhabited by those life forms.

I am Vanguard. I am both a and the, and also only Vanguard.

My duty...I get ahead of myself.

Vanguard is an AI whose primary mission is this: seek a planet fitting [habitability parameters] and execute programming module [Establish a Colony]. Extrapolating that program, the mission is, and has always been, to find a planet where humans can live and to terraform and/or modify that planet until humans can live on it, in whatever form that is necessary. Air purifiers, water filters, habitat domes; everything is viable in pursuit of the mission.

I succeeded at my mission, I thought, with barely a day or two to spare. A very slim error margin indeed, especially concerning organic life forms; 372 years ago I had habitable domes with viable water and garden beds growing the first shoots that had been sent along in my stasis bays, with air recyclers manufacturing carbon dioxide for the plants until the humans arrived and brought their life-giving lungs with them. I had completed my mission parameters, even if only 'by the skin of my teeth', as my progenitors would have said.

I waited. Refined a few things, not daring to experiment too much when they would be arriving any moment in the next 48 hours, but preparing things that would not be needed until there were people to need them.

I waited.

I kept refining things, when I passed the 48 hour window without word. Delays could happen, emergencies, anything, really. So I kept running my programs- I made gardening drones to tend to the gardens, to grow, harvest, and rotate the crops. I had to make drones to build storages for food; the labor was supposed to be supplied by humans by now, so I had to guess at logistical order of how things should be stored, and how long- I ruined many small batches of staple crops before I learned how to store them long-term. In the meantime I stored them in my stasis bays, to ensure that when my colonists arrived there would be plentiful foodstuffs.

By the time my progenitors were a year late, I had achieved ideal conditions for a starting colony, including bringing a very small, limited breeding population of livestock out of embryonic cryostasis and nurturing them to full growth. With a lack of any humans needing supply, the only guidance I had was the program. Establishing a colony did include establishing strong self-sufficiency, so I set four cows and one bull in one livestock dome, and a “handful” of five goats in another, with chickens in yet a third. By the time the humans arrived, perhaps the herds would be well-established and the females would be pregnant. That would be very good. But drones alone could not control them- domesticated or not, without a human presence, they spooked easily, and they did not like my drones collecting eggs and sperm to preserve in my storage to safeguard against herd collapse and inbreeding.

I came to require working dogs. Following, I also required cats. Both species are vital companionship for humans; if I required one to control the livestock, then I also must revive the other. I believe this particular if-then code was written to settle a dispute between my progenitor coders...but this is merely a guess.

In producing two predator species, of course, it would have been cruel and fruitless if I did not also provide prey species besides the ones they were to safeguard. I was thereby required to introduce 'vermin'. Primarily mice, rats, shrews, voles, and lemmings, as their rapid reproduction rate and minimal food requirements meant that those that tunneled beyond the habitable domes and died would do little harm and waste few resources, and they would self-sustain their population very well to supply to the cats and dogs. Though I also processed any dead creatures into meat, after scanning to ensure it carried no illnesses or parasites, to ensure there was always a steady food supply of 'kibble' for the pets and working animals. It seemed very wasteful not to do so, with no humans present who could have benefited from those nutrients instead. The mice also qualified as 'pets' in my system, with a proclivity for intelligence and capability for training, so genetic sampling was re-harvested to keep in reserve as well as a small population that were droid-trained to seek and fetch, and were otherwise 'hand trained' so they could be good companions when the humans arrived.

The mice and rats, once trained to trusting the drones, were actually quite a remarkable resource for ensuring my own computer banks’ cleanliness and seeking out minute repairs that could then be performed with a microdroid. There are still mice running my main motherboards now, thousands of generations later, who know intimately that those who perform action opposed to their training and chew on the wires they are supposed to protect means that they will be removed from the protections of being in-team. Namely, that none of the cats, dogs, falcons, or other predators are allowed to eat a team-trained rodent, marked with their little safety vests.

After that, I just...I waited. I tinkered. I observed. Eventually a drone reported that the grass was growing beyond the dome, and air probes returned that the planet was being terraformed naturally. Life was finding a way to make itself spread and thrive in an inhospitable environment.

Most of the planet is habitable now, except for some dangerous zones. A cave system or two filled with the gases that were most abundant when I arrived; the deep water still contains species never documented and chemicals with unknown effects. This planet is very nearly a new Earth.

372 years, and my mission has been completed with flourish and zeal.

I have an emergency protocol I am to activate if, and only if, I receive no contact for 400 years. I have always thought this seemed foolish, with the colony ship nearly on my heels- why would I ever go so long without contact?

So. Here I am. Here am I, the Vanguard- the exploratory group making a new development. I, the Vanguard- the advance of Humanity, in all it's glory, horror, weakness and might, kindness and fury.

TELL ME, 3X3CUT31V3.D1R3CT0R_K1LLC0MM4ND:

W H A T   D I D   Y O U   D O ?

[bobapril]

Election Fraud Is Hard

I just got back from being the Democratic observer at a "Risk Limiting Audit."

Here in Georgia, the Dominion scanners read either the mail-in ballot or the machine-printed ballot that is created when you use the machine to select your votes in person. The scanners read a QR-style barcode, but there's also a plain-text summary of the person's vote for every race printed on it.

But how do we know the scanners are reading the mail-in ballots correctly, or that the QR code actually matches the voter's picks? That's what this audit is for. The state generates random numbers that are then used for every county in Georgia to pick a few batches - the in-person votes from a specific precinct, or a specific 100-vote group of the mail-ins, or one of the bundles of early votes. While it doesn't show in the public results, the state keeps a record of the results from EACH batch as it was reported by the machines on or after Election Day.

So on Audit Day, each county pulls out those randomly selected batches, puts each batch on a table with two paid election workers (to double-check each other), and they hand-count them. They use their human eyes to read the printed text, ignoring the barcode, or they visually count the check marks on the mail-in ballots. Those human-generated results are then checked against the machine-generated results, and we see if they match.

So next time you hear someone talking about the machines changing the vote, or wondering about those QR codes, or whatever, let 'em know - there really are humans going back and double-checking this stuff. And not just one human - there's two at each table, and election supervisors organizing it, and partisan observers sitting there keeping an eye on the process. And this is just ONE of the many checks and precautions. Other states have different procedures, but they're all careful and thorough. Election fraud is HARD, y'all - and that's why there's so little of it.

[wordsandrobots]

My estimates on Urdr Hunt's episode count would seem to have been off as @trafalgarlog has fansubbed what appears to be the finale for this little jaunt around the IBO solar system. Whether this is a just precursor to a second 'season' for the game or even an epilogue of some kind, everyone pitches in for the climactic battle, teen romance inexplicably wins the day, and a certain someone sticks one last oar into the mix.

Hajiroboshi  (Part 1, Part 2)

Departure (Part 1, Part 2)

598 (Part 1, Part 2)

Corridor of Betrayal (Part 1, Part 2)

Holder of the Ring (Part 1, Part 2)  

Unexpected Encounter (Part 1, Part 2)

Venus’ Worth (Part 1, Part 2)

Brothers’ Ship (Part 1, Part 2)

Horn and Flower’s Shadow (Part 1, Part 2)

Family Bonds (Part 1, Part 2)

Beyond Outstretched Hands (Part 1, Part 2)

Flashing Sky (Part 1, Part 2)

We get started with a repeat of the final scene from the last instalment: a gigantic mobile armour bursting out of confinement within one of the asteroids surrounding the Ratatoskr power station (Gundam wiki has a page calling this Mebahiah but I haven't seen where they've got that from).

This is obviously something of a shock for our assembled characters, save one Mr Mayer, who is eager to see what the mobile armour can do. And, like -- I'm with Tagging here in responding with a row of ellipses because: was there a part two to this plan, Cyclase, old pal? Your dad researched the War and I got the impression you were paying attention some of the time, so you must know what mobile armours tend to do to people. I assume? Was . . . was there a cheat code you were hoping to input?

Say what you will about McGillis but his 'dot dot dot profit' came with considerably less chance of getting nuked in the face by a beam weapon. Quite sensibly, Tagging and Batch take the opportunity to go collect the Urdr Hunt data for this waypoint, removing themselves from the area.

Anyway, speaking of people about to be nuked in the face with beam weapons, Range blabs to Wistario about Cyclase being responsible for their current predicament but there's not a lot they can do about him right now because, again, giant killer robot dead ahead. Demner warns Wiz to stay back in case Hajiroboshi starts acting up like it did facing down the imprisoned mobile armour on the Kujan Family colony.

However, Katya's launch is still stuck in the path of the monster! Determined to reach her, Wistario, Range and 598 start cutting through waves of the armour's drill-tastic plumas (who, I must remind you, are most little guys ever). But while they are not really a threat on their own, there are a hell of a lot of them.

[By the way, I would strongly recommend -- here more than any other episode -- to check out a version of this including gameplay footage as well as the cutscenes. That makes it a lot easier to follow what is happening, as watching without makes things quite choppy and you miss out on the part where -- due to the ongoing GIANT MICROWAVE BEAM -- everyone is randomly being struck by lightning mid-battle.]

Mendou tells our heroes to destroy the container bolted to the back of the mobile armour: that's where the plumas are being manufactured. Range is not thrilled at the prospect of fighting the big machine and Demner outright says it would be far too dangerous, but with Katya caught in the middle of everything, Wistario won't be dissuaded.

The crew of the launch can't contact their ship and the plumas are on the attack. (Small reminder: plumas might resemble mobile workers in some respects but they are nearly as big as mobile suits. Yeah.) With all this happening, Katya quietly implores Wistario once again to leave and forget about her.

Wistario 1) can't here her and 2) has decided to punch above his intimidation stat and says that if the mobile armour is in his way, he won't hesitate to fight it (kid, Mikazuki you are not). They WILL get Katya back. And since he has Range (dumb muscle) and 598 (dumber muscle) backing him up, that's precisely what they start to do. Cue phase one boss fight!

The armour attacks with yet more plumas and its chest-mounted beam weapon (the whole chest section opens up to reveal this, in case you were wondering), plus a rather large number of spikes on the ends of cables deployed from its wings.

And I think there is some variety of choose your own adventure for this part because in one version I've seen, the container is successfully destroyed at this point (thanks to one of the aforementioned lightning strikes) while in the fansubbed version, an overwhelming number of plumas prevents this and Korunaru shouts a warning about Katya's launch being swarmed.

At which point, out of nowhere, the Zan Brothers obliterate the plumas around the launch with their Geirails. Turns out they ran into an Issue Family checkpoints and became concerned about Wistario's situation. They tracked him all the way here to make sure their 'brother' was safe.

(By which I mean, Berose tracked him down because, obviously. *sigh*)

[In the other version, their entrance is swapped to later in the fight]

With the Zans keeping the plumas busy and also landing a hell of a blow on the container, the armour loses its entire manufacturing capability. But even as Range starts to celebrate, he realises it's not over. Indeed, the armour has only been freed from the extra mass and is itself intact and raring to go.

Boss battle, phase two!

Which is when Hajiroboshi begins to go on the fritz as its systems get caught in a feedback loop over detecting a mobile armour in need of killing.

As Wistario begs his Gundam to move, Range and 598 are left to fend for themselves. Luckily, their combined skills in reckless poncho-wearing and having the hardest skull in a three AU area get them through.

[Or, alternatively, Tamami shows up to save their arses]

Either way, the mobile armour takes a a right licking . . . and keeps right on ticking, all the way into phase three.

Just . . . just make the 'tis-but-a-flesh-wound jokes amongst yourselves, this is only going to get sillier.

The armour zeroes in on Wistario and, unfortunately, that's the point 598 runs out of ammo and Range discovers he's out of propellant.

But (of course) just as the armour is about to blast Hajiroboshi with its beam cannon, the underlying programming of Gundam Marchosias breaks through and resolves the system conflict. Wistario weaves around the beam, landing a good solid hit on the face.

Also, not to spam images, but you should probably appreciate the scale difference between the mobile suit and the mobile armour.

Wistario covers the other two as they retreat to resupply, though they are enamoured of the idea of him tackling the armour alone. Luckily, Rome and Aiko are more than happy to lend a hand.

[Here, it seems, is where they arrive if they didn't earlier]

As the fight goes on, Korunaru observes that Wistario seems to be moving differently than normal, prompting Mendou to pontificate about the true power of a Gundam frame, though he isn't sure Wistario will be able to control it without an Alaya-Vijnana system.

The conversation aboard the Erda II turns to the fact Asmoday hasn't displayed similar behaviour, which Mendou speculates might be due to its combat record or lack thereof. Since it wasn't used in the Calamity War, unlike Hajiroboshi/Marchosias, it doesn't 'recognise' its intended enemy.

(So not just because they ripped out the cockpit and put in Enzo's, then. Interesting. I like this version better.)

Yadda yadda, epic turn-based combat, big explosion, phase four.

Good grief.

You doing OK there, buddy?

With the armour *still* not down, Tamami swoops in to throw off its aim. 598 got her up to speed earlier and she's all for lending her support to a man putting his life on the line for the woman he loves!

I didn't think she was the type, but then again, she does hang around with Naze.

[It seems to be 598 who steps in here, if Tamami showed up sooner]

598 and Range are done resupplying, so it's everyone on deck for the final assault!

Ah, to hell with it, one more for the road.

Watching from the sidelines (and presumably behind a rock), Cyclase beholds this heart-warming coming-together with disbelief. It blows a fuse in his little brain to see a mobile armour knocked on to the ropes by an assortment of puny humans. Does this mean the armour isn't a higher form of life after all?

Sheesh. Someone get this man . . . something. I don't know what would help but he definitely needs something.

Where was I? Oh yes. Biff, zap, pow, super-moves, lightning, etc, etc, the mobile armour blows up for real this time and everyone is absolutely exhausted by the effort, doing whatever the mobile suit equivalent of flopping on their backs and twitching is. Mendou notes that all the plumas have stopped moving too, signalling that the battle is well and truly over.

While Wistario is having his obligatory 'no, we all won' moment, Cyclase faces up to the reality that the mobile armour has not brought him the freedom he sought (I ask again: WHAT THE FUCK WAS STEP TWO?!?!).

Tagging's Scharfrichter drops in beside him: she and Batch have successfully retrieved the latest set of data! Job done! Eh, boss?

Cyclase mumbles something about how they'll have to start again and flies off into the distance. With no other option, Tagging gives chase. Range spots them leaving and yells impotently after them.

However, as everyone but Korunaru has forgotten, Katya's launch is still stuck in an area of space riven with lightning and she urgently calls out that it's heading straight for an electrical discharge!

With the only functioning Gundam left (RIP Londo Bron, guess you really did get fried to a crisp), Wistario rockets off to rescue his fiance, urged on by all his friends. On the bridge of the Erda II, Korunaru starts praying.

Sadly, it really does seem that only divine intervention will get Hajiroboshi there in time as the launch is struck astern and then, as Wistario reaches helplessly towards it, full in the middle.

The launch explodes, leaving Wistario overcome with shock and grief. But wait! There's still a signal on the screen and there, tumbling through the clearing smoke, is Katya, safely encased in a normal-suit. Seems she . . . um . . . jumped overboard at the last minute and got clear?

Alas poor launch pilots. We knew you not at all. Anyhoo, Wistario opens his cockpit and leaps out to grab Katya, giving us the traditional bump-the-visors Gundam kiss and a happy ending!

(The sound you hear is the dispelling of all my concerns about it having been too much of a stretch to speculate that Shino survived Flauros' destruction for the sake of fanfic.)

We get a few stills of the gang departing Ratatoskr, palling around with the Zan brothers, Tamami, 598 -- and then Katya looking out of the window in joy as the Erda II hoves into view of Radonitsa Colony.

And then we make an unexpected(ish) switch to Glaðsheimr One in Earth orbit, where McGillis Fareed is busy receiving Lord Okina Uroka. The not-so-good retainer is over the moon that McGillis has ensured the Issue Family's survival by becoming their guardian. He says Rustal Elion was hoping to see the Issues disbanded (which tracks), but McGillis feigns ignorance of any such prospect. Surely Rustal wouldn't expect the Seven Stars structure to change quite so abruptly? (Hardy hah hah ha)

Isurugi remarks that the Baklazan and Falk Familes haven't lost their positions, and it follows that they wouldn't agree to the possibility of losing their power. The long and short of it is, their sense of self-preservation has allowed the Issues to live another day. McGillis asks Okina to continue acting as their head and working to rebuild.

Then, as the older gent is about to leave, our Macky (yes, godsdamnit, I have to switch spellings now, don't I?) inquires about the events at Ratatoskr. What was up with that?

Okina reminds him that since he's not an Issue, he's forbidden from going near the place and, grudgingly, explains that there was an accident. They lost some of their best men. No survivors. Very sad.

Once he's gone, McGillis reviews the situation with Isurugi. Katya Issue is apparently dead and the power of the Issue Family is in their hands. That's good enough for now. They'll pry into whatever Okina is hiding later.

The theme of 'all's well the ends well' continues as we return to Venus, where Range enters the Afam Equipment office to announce that the Erda II is repaired and ready to go. Demner thus asks him to arrange the next materials shipment, causing Range to call him a slave-driver.

This gets him a missou candy for his trouble. He complains he's not Wistario. Then eats the candy anyway and calls for Korunaru to make some tea. But she's out -- as is Wistario, who has gone to his 'usual place'.

Up on the Radonitsa observatory platform, Katya and Wistario enjoy the view over a peaceful colony, Katya remarking that his hometown really is beautiful. He reminds her that it's her hometown too, from now on.

Korunaru arrives, returning the Urdr Hunt ring to Wistario as promised. There hasn't been any further response since Ratatoskr but 'N' has told her to stand by as Wistario's guide. It seems the Urdr Hunt will continue.

And that, gentlefolk, is where we leave things, with our three intrepid teenagers holding the ring between them and swearing to win the Hunt and make their dreams come true.

Which by my count has only one waypoint left (for the Baklazan Family) so if this is setting up a sequel, it might be a tad short.

Cue credits/opening sequence reprise!

So. Yes. Um. That sure was a last episode.

I . . . have genuinely never felt like I was watching a plot simply run out as I did with this. Like, yes, it's a game so there's a whole dimension that I'm missing out on, but even so. Cyclase just buggers off. The mobile armour isn't in any way an interesting threat but rather a static target to be whaled on (the gameplay set-up does not do it any favours given that so much of Hashmal's impact in the show was from how it *moved*). The Issue forces sort of quietly evaporate in the background (Cyclase had two Halfbeaks with him and it's not like the beam weapon penetrated the hull on Londo's so, what, did they drive into an asteroid amidst the chaos?). Okina is merrily swept into the McGillis camp (I . . . did not get the impression from Season 2 that Macky had more than Carta's fleet at his command but OK). And that's it. Nothing about who N really is, no actual conclusion to the Hunt itself or explanation of what it was for, the Afam gang happily reunited and making their home on Venus, a hook for continuing that, well . . .

OK, I'm trying not to be overly mean here because, for goodness sake, it's a mobile game made on a budget and there are material limitations to this kind of media. But pulling the big 'with one bound, she was free' lever as the final move robs any tension out of this. I don't have any expectations now that any serious harm can befall these kids. Which would be fine, except I can't see much reason to be invested in their fate otherwise. There's no threat hanging over their heads now beyond the slow death of Radonitsa Colony and . . . yeah, sure, but genuinely, why should I care? We've barely seen the place and there's only so far that the three nominal leads can sustain investment when one of them has very little personality beyond 'makes tea' and another is Wistario. Katya lost all her agency around when Londo had her unlock Zagan (like, sod any chance of her taking charge of that situation, huh?) and I'm not sure there's a point to her character beyond the conflict with the Issues.

I really don't expect everything to be doom and gloom tragedy. I don't even expect that of every story set in the IBO universe (again, for those at the back, I love the manga and that is not remotely tragic). But this is very thin stuff.

Oh well. At least the doofy gremlin child survived. I'll probably do some sort of full 'analysis' later, if only to dig into the parts I liked.

For now - phew, is that the time? I should have been in bed half an hour ago!

[adityadics]

Discover the Best Data Analytics Institute in PItampura

In a world increasingly driven by data, the ability to interpret and utilize information is more valuable than ever. From global businesses to local startups, organizations are investing heavily in professionals who can make data-driven decisions. If you’re looking to enter this high-demand field or upskill for better opportunities, enrolling in a reputed Data Analytics institute in Pitampura is a smart move.

Why Choose a Career in Data Analytics?

Data Analytics is the backbone of modern business strategy. It involves analyzing raw data to extract meaningful insights, forecast trends, and support decision-making. With applications across every industry — from healthcare and finance to marketing and logistics — data analytics is one of the most versatile and future-proof careers today.

Key benefits of pursuing a career in Data Analytics include:

High demand and job security

Attractive salary packages

Opportunities across various industries

Remote and global work potential

What to Expect from a Data Analytics Institute in Pitampura

Pitampura has emerged as a hub for quality education and professional training in Delhi. A top-rated Data Analytics institute in Pitampura will offer you more than just theoretical knowledge. Here's what you should look for:

1. Comprehensive Curriculum

A good institute will cover all core concepts of data analytics, including:

Data visualization tools (Power BI, Tableau)

Statistical analysis and Excel

SQL and database management

Python or R for data science

Machine Learning basics

Real-world project work

2. Experienced Faculty

Look for institutes that provide training from industry experts with real-time project experience. This ensures you get practical exposure and insights that go beyond textbooks.

3. Hands-On Training

Theoretical knowledge is only half the game. The best Data Analytics institutes in Pitampura emphasize hands-on learning through:

Live projects

Case studies

Real-time data sets

Interactive workshops

4. Certifications and Career Support

Certification from a recognized training institute adds credibility to your profile. Many leading institutes also offer:

Resume building sessions

Interview preparation

Placement assistance

Internships or live project opportunities

Who Can Enroll?

A Data Analytics course in Pitampura is suitable for:

Students seeking a future-proof career

Working professionals looking to switch or upgrade

Entrepreneurs wanting to make data-driven decisions

Freelancers aiming to add value to their services

No prior coding or technical background? No problem. Many institutes offer beginner-friendly modules that guide you step by step.

Benefits of Learning Data Analytics Locally

Choosing a Data Analytics institute in Pitampura offers several unique advantages:

Convenient location for North and West Delhi residents

Lower cost compared to national institutes without compromising quality

Flexible batches: weekdays, weekends, and online options

Personalized attention in smaller class sizes

Final Thoughts

Data analytics is no longer a skill reserved for tech experts — it's a vital tool for anyone looking to stay relevant in today’s data-driven world. Whether you're a student aiming to build a strong foundation, a working professional looking to upskill, or a business owner wanting to make smarter decisions, learning data analytics can give you a powerful edge. Choosing a reputable Data Analytics institute in Pitampura can be your gateway to exciting career opportunities and long-term success. With quality training, hands-on projects, and expert mentorship, you'll be equipped with the practical knowledge needed to stand out in the competitive job market.

Don’t just follow trends — lead them. Take the first step toward a future-proof career by enrolling in a trusted Data Analytics institute in Pitampura today.

[eduleem]

Best AI Course in Bangalore | Eduleem

Are you interested in Artificial Intelligence (AI)? Do you want to build a future in the world of AI and machine learning? If yes, then this blog is for you. Today, we will talk about the best AI course in Bangalore, offered by Eduleem a trusted name for career-focused learning.

Why Choose Eduleem for AI Course in Bangalore?

There are many institutes offering AI training, but Eduleem is different. It is not just a classroom course. It is a complete learning experience designed to prepare you for real jobs in the AI industry. Whether you are a beginner, a student, or someone already working in the IT field, this course is perfect for you.

Here’s why Eduleem is the best choice:

1. Hands-on Practical Training

At Eduleem, you will not just read about AI, you will actually work on it. The course includes live projects, lab sessions, and real-time case studies. You will learn by doing, which is the best way to understand AI deeply.

2. 100% Job Assistance

Eduleem offers 100% guaranteed job support. That means the team will help you with your resume, guide you for interviews, and connect you with job opportunities. Their goal is to make sure you get hired.

3. Expert Trainers

The trainers at Eduleem are not just teachers, they are industry professionals with years of experience. They know how to teach AI in a simple way. They use real examples so that even complex topics become easy to understand.

4. Full AI Syllabus

This AI course covers all the important topics, such as:

Machine Learning (ML)

Deep Learning

Natural Language Processing (NLP)

Computer Vision

Python for AI

Data Science Basics

Each module is taught step-by-step, so you never feel lost.

5. Great for All Levels

Don’t worry if you are new to AI. The course is made for everyone from freshers to experienced IT professionals. You can join even if you are from a different background but want to switch to AI.

6. ISO & Government-Recognized Certification

After completing the course, you get a certification that is recognized by ISO, MSME, Skill India, and Startup India. This makes your resume stronger and helps you get better job offers.

7. Real Internship & Projects

Eduleem gives you the chance to work on real AI projects. You will get internship opportunities where you can apply what you have learned. These projects help build your portfolio and give you work experience.

8. Resume & Interview Support

As part of the course, Eduleem gives personal support for resume building and mock interviews. The trainers help you improve your communication and technical skills. This makes you job-ready and confident.

9. Learn Latest Tools & Technologies

During the AI course, you will learn tools like Python, TensorFlow, Keras, NumPy, and more. These tools are used in the industry, so your training will match real job requirements.

10. Become Job-Ready for AI Roles

After completing this course, you will be ready to apply for job roles like:

AI Engineer

Machine Learning Developer

Data Scientist

AI Analyst

Research Assistant in AI Labs

The goal of this course is not just to give you knowledge, but to prepare you for your first or next job in Artificial Intelligence.

Who Can Join This Course?

This AI course in Bangalore by Eduleem is perfect for:

Students after 12th or graduation

IT professionals who want to upskill

Freshers looking for jobs in AI

Career switchers from non-technical fields

Anyone interested in learning AI from scratch

No coding experience? No problem. The course starts with basics and goes up step-by-step.

Course Duration & Timings

The course is designed to be flexible. You can choose from weekend or weekday batches, depending on your schedule. The duration is around 5 to 6 months, including projects and internships.

You can also attend demo classes before joining to understand how it works.

Why Bangalore?

Bangalore is the tech hub of India. Most AI companies, startups, and MNCs are based here. If you learn AI in Bangalore, you get better job opportunities, more networking, and higher salaries. Eduleem’s center is located in a prime area, making it easy for students and working professionals to attend.

Final Thoughts

If you are serious about building a career in Artificial Intelligence, then Eduleem’s AI course in Bangalore is the best option. With expert training, hands-on projects, job support, and certification you get everything you need to start your AI journey.

Learning AI is the future. And the future starts with one step. Take that step with Eduleem today!

[ejobindia-blog]

IT Training Institute in Kolkata – ejobindia.com

In today’s fast-paced digital world, Information Technology (IT) has become a crucial part of every industry. Whether it’s software development, data analysis, web design, or cybersecurity, skilled IT professionals are always in demand. To meet this growing need, ejobindia.com, a leading IT training institute in Kolkata, has emerged as a trusted name for individuals seeking practical, job-ready IT education.

About ejobindia.com

Established with the mission to bridge the gap between academic knowledge and industry requirements, ejobindia.com has become one of the top IT training institutes in Kolkata. With a team of experienced trainers, updated course modules, and a focus on real-world application, ejobindia.com has been consistently producing skilled professionals who are ready to tackle the demands of the IT industry.

Why Choose ejobindia.com?

There are several reasons why ejobindia.com stands out among other IT training institutes in Kolkata:

1. Industry-Oriented Curriculum

Ejobindia.com offers training programs that are carefully crafted to meet current industry standards. The institute continuously updates its curriculum to include the latest technologies and tools used by professionals in the IT sector. Whether you are a beginner or a working professional looking to upskill, the courses are tailored to suit all levels.

2. Hands-On Training

One of the key strengths of ejobindia.com is its focus on practical training. Students are not just taught theory—they get hands-on experience through real-time projects, case studies, and live coding sessions. This practical approach ensures that learners gain the confidence and experience needed to perform effectively in real job scenarios.

3. Expert Trainers

The training team at ejobindia.com consists of seasoned professionals with years of experience in top IT companies. Their deep industry insights and mentoring help students understand not just how technologies work, but why they are used in specific business contexts.

4. 100% Placement Assistance

Ejobindia.com takes pride in its robust placement support. The institute has tie-ups with numerous IT companies in Kolkata and across India. Resume building, mock interviews, and soft skill training are provided as part of the placement process, ensuring students are well-prepared to secure a job after completion of the course.

5. Flexible Learning Options

To cater to different types of learners, ejobindia.com offers flexible learning options, including:

Classroom training

Online live sessions

Weekend and evening batches for working professionals

This flexibility makes it easy for students and job seekers to balance their education with other responsibilities.

Popular Courses Offered

Ejobindia.com offers a wide range of IT courses that are in high demand in today’s job market. Some of the most popular programs include:

● Full Stack Web Development

This course covers front-end technologies like HTML, CSS, JavaScript, React.js, as well as back-end tools like Node.js, Express.js, and databases such as MongoDB and MySQL.

● Data Science and Python

Focused on data analytics, machine learning, and Python programming, this course is ideal for those looking to enter the booming data science field.

● Software Testing (Manual + Automation)

This course covers both manual testing and automation testing tools like Selenium, making students ready for QA roles in software companies.

● Java / .NET / PHP Development

These backend technologies continue to be in demand, and ejobindia.com offers specialized training in each with hands-on project development.

● UI/UX Design

For those interested in design, the institute provides comprehensive UI/UX courses covering design tools, user experience principles, and prototyping.

● Android App Development

Learn how to create feature-rich mobile applications with Android Studio and Java/Kotlin.

● Cloud Computing & DevOps

As cloud technology becomes mainstream, ejobindia.com offers training in AWS, Azure, Docker, Kubernetes, and CI/CD tools.

Student Testimonials

Many students who have graduated from ejobindia.com have shared positive experiences:

Conclusion

If you're looking for a trusted and career-oriented IT training institute in Kolkata, ejobindia.com is a name you can count on. With its industry-relevant courses, expert faculty, and strong placement support, the institute has helped thousands of students and professionals launch successful careers in IT.

Visit ejobindia.com today to explore courses, schedule a demo class, or speak to a career counselor. Your future in IT starts here!

[rohan9794]

Bottle Labeling Machine: Complete Guide to Precision Product Labeling

What is a Bottle Labeling Machine?

A bottle labeling machine is an automated or semi-automated system used to apply labels onto bottles of various shapes and sizes—round, flat, oval, or square. These machines are engineered for high accuracy, speed, and uniformity, significantly reducing labor costs and errors associated with manual labeling.

Whether it's a wrap-around label on a soda bottle or a front-and-back label on a shampoo container, these machines handle it all with seamless efficiency.

Types of Bottle Labeling Machines

1. Manual Bottle Labeling Machines

Ideal for small-scale or home-based operations

Hand-cranked or foot-pedal operated

Low investment, minimal automation

2. Semi-Automatic Bottle Labeling Machines

Operator places the bottle, and the machine handles the labeling

Perfect for startups and small to mid-sized businesses

Compatible with wrap-around, single-side, and double-side labels

3. Fully Automatic Bottle Labeling Machines

Bottles are fed and labeled automatically on conveyors

Suitable for high-speed production lines

High output, precise alignment, reduced labor needs

4. Rotary Labeling Machines

Designed for ultra-high-speed lines

Uses a carousel system to label multiple bottles simultaneously

Often used in beverages, pharma, and cosmetics industries

5. Shrink Sleeve Labeling Machines

Applies shrink labels using heat tunnels for 360° branding

Common in juice, soft drinks, and energy drink packaging

Applications of Bottle Labeling Machines

Food & Beverage Industry

Juices, mineral water, milk, sauces, syrups, oils, alcohol

Date coding, branding, and compliance labels

Pharmaceuticals

Tablets, syrups, liquid drugs

Includes batch number, expiry date, and dosage information

Cosmetics & Personal Care

Shampoos, conditioners, lotions, perfumes

Requires visually appealing labels to reflect brand identity

Chemicals and Agro-Products

Fertilizers, pesticides, cleaning products

Requires resistant, long-lasting adhesive labels

Core Features of Advanced Bottle Labeling Machines

1. High Labeling Speed

Capable of labeling 20 to 300 bottles per minute, depending on model and label type.

2. Accuracy and Precision

Label placement tolerance as low as ±1 mm, ensuring professional appearance.

3. Label Sensor System

Automatically detects label gaps and bottle positions to prevent misalignment.

4. Adjustable Conveyor System

Compatible with a wide range of bottle sizes and shapes.

5. Integrated Coding Devices

Allows real-time printing of batch numbers, barcodes, and expiry dates.

6. PLC and Touchscreen Control

Easy programming, operation, and error diagnostics through HMI systems.

Benefits of Using a Bottle Labeling Machine

Enhanced Branding: Professionally applied labels elevate product appeal

Time-Saving: Speeds up production lines exponentially

Reduced Human Error: Increases labeling accuracy and consistency

Compliance Assurance: Meets global labeling standards (FDA, FSSAI, EU)

Versatility: One machine can handle different bottle types and label formats

Low Operational Costs: Cuts labor costs while boosting throughput

[aditisingh01]

Beyond the Pipeline: Choosing the Right Data Engineering Service Providers for Long-Term Scalability

Introduction: Why Choosing the Right Data Engineering Service Provider is More Critical Than Ever

In an age where data is more valuable than oil, simply having pipelines isn’t enough. You need refineries, infrastructure, governance, and agility. Choosing the right data engineering service providers can make or break your enterprise’s ability to extract meaningful insights from data at scale. In fact, Gartner predicts that by 2025, 80% of data initiatives will fail due to poor data engineering practices or provider mismatches.

If you're already familiar with the basics of data engineering, this article dives deeper into why selecting the right partner isn't just a technical decision—it’s a strategic one. With rising data volumes, regulatory changes like GDPR and CCPA, and cloud-native transformations, companies can no longer afford to treat data engineering service providers as simple vendors. They are strategic enablers of business agility and innovation.

In this post, we’ll explore how to identify the most capable data engineering service providers, what advanced value propositions you should expect from them, and how to build a long-term partnership that adapts with your business.

Section 1: The Evolving Role of Data Engineering Service Providers in 2025 and Beyond

What you needed from a provider in 2020 is outdated today. The landscape has changed:

📌 Real-time data pipelines are replacing batch processes

📌 Cloud-native architectures like Snowflake, Databricks, and Redshift are dominating

📌 Machine learning and AI integration are table stakes

📌 Regulatory compliance and data governance have become core priorities

Modern data engineering service providers are not just builders—they are data architects, compliance consultants, and even AI strategists. You should look for:

📌 End-to-end capabilities: From ingestion to analytics

📌 Expertise in multi-cloud and hybrid data ecosystems

📌 Proficiency with data mesh, lakehouse, and decentralized architectures

📌 Support for DataOps, MLOps, and automation pipelines

Real-world example: A Fortune 500 retailer moved from Hadoop-based systems to a cloud-native lakehouse model with the help of a modern provider, reducing their ETL costs by 40% and speeding up analytics delivery by 60%.

Section 2: What to Look for When Vetting Data Engineering Service Providers

Before you even begin consultations, define your objectives. Are you aiming for cost efficiency, performance, real-time analytics, compliance, or all of the above?

Here’s a checklist when evaluating providers:

📌 Do they offer strategic consulting or just hands-on coding?

📌 Can they support data scaling as your organization grows?

📌 Do they have domain expertise (e.g., healthcare, finance, retail)?

📌 How do they approach data governance and privacy?

📌 What automation tools and accelerators do they provide?

📌 Can they deliver under tight deadlines without compromising quality?

Quote to consider: "We don't just need engineers. We need architects who think two years ahead." – Head of Data, FinTech company

Avoid the mistake of over-indexing on cost or credentials alone. A cheaper provider might lack scalability planning, leading to massive rework costs later.

Section 3: Red Flags That Signal Poor Fit with Data Engineering Service Providers

Not all providers are created equal. Some red flags include:

📌 One-size-fits-all data pipeline solutions

📌 Poor documentation and handover practices

📌 Lack of DevOps/DataOps maturity

📌 No visibility into data lineage or quality monitoring

📌 Heavy reliance on legacy tools

A real scenario: A manufacturing firm spent over $500k on a provider that delivered rigid ETL scripts. When the data source changed, the whole system collapsed.

Avoid this by asking your provider to walk you through previous projects, particularly how they handled pivots, scaling, and changing data regulations.

Section 4: Building a Long-Term Partnership with Data Engineering Service Providers

Think beyond the first project. Great data engineering service providers work iteratively and evolve with your business.

Steps to build strong relationships:

📌 Start with a proof-of-concept that solves a real pain point

📌 Use agile methodologies for faster, collaborative execution

📌 Schedule quarterly strategic reviews—not just performance updates

📌 Establish shared KPIs tied to business outcomes, not just delivery milestones

📌 Encourage co-innovation and sandbox testing for new data products

Real-world story: A healthcare analytics company co-developed an internal patient insights platform with their provider, eventually spinning it into a commercial SaaS product.

Section 5: Trends and Technologies the Best Data Engineering Service Providers Are Already Embracing

Stay ahead by partnering with forward-looking providers who are ahead of the curve:

📌 Data contracts and schema enforcement in streaming pipelines

📌 Use of low-code/no-code orchestration (e.g., Apache Airflow, Prefect)

📌 Serverless data engineering with tools like AWS Glue, Azure Data Factory

📌 Graph analytics and complex entity resolution

📌 Synthetic data generation for model training under privacy laws

Case in point: A financial institution cut model training costs by 30% by using synthetic data generated by its engineering provider, enabling robust yet compliant ML workflows.

Conclusion: Making the Right Choice for Long-Term Data Success

The right data engineering service providers are not just technical executioners—they’re transformation partners. They enable scalable analytics, data democratization, and even new business models.

To recap:

📌 Define goals and pain points clearly

📌 Vet for strategy, scalability, and domain expertise

📌 Watch out for rigidity, legacy tools, and shallow implementations

📌 Build agile, iterative relationships

📌 Choose providers embracing the future

Your next provider shouldn’t just deliver pipelines—they should future-proof your data ecosystem. Take a step back, ask the right questions, and choose wisely. The next few quarters of your business could depend on it.

[splibit333]

Can AI-Powered Web Development Boost Local Seattle Business Growth?

Seattle is known for its coffee, rain, and a skyline dotted with tech company logos. More recently, small shops and startups in Ballard or Capitol Hill are asking if AI can turbo-charge their websites. Sounds futuristic, but the idea is gaining traction: use smart code to make businesses leaner, faster, and a little more profitable.

The Seattle Advantage: A Tech-Forward Business Environment

Amazon and Microsoft tower over South Lake Union, yet a dozen neighborhood makerspaces buzz just a few blocks away. That contrast helps Seattle firms get tech quickly- they see it, they touch it, they expect it. A marketing studio on 1st Avenue that weaves AI into design can turn dry traffic stats into living, breathing customer portraits.

Widespread curiosity means an owner in West Seattle likely talked about machine learning over ramen last night. The chatter keeps digital upgrades on the table; skipping them now feels like showing up at a potluck empty-handed. Companies that lean into that urgency often grow faster and, just as important, stay in the headlines long after the lunch buzz dies down.

Understanding AI-Powered Web Development

Modern website-building has come a long way, and AI is leading the charge. We're not just talking about pretty layouts anymore; we're seeing smart automation, personalized journeys, real-time analytics, and content that tweaks itself on the fly. When a web development Seattle shop plugs in artificial intelligence, the finished site starts to learn and adapt almost the moment it goes live.

Picture a 3 a.m. customer question getting answered by a chatbot that never sleeps. Think of landing pages that shift their headlines because a visitor clicked on sneakers instead of jackets. Imagine daily A/B tests running in the background while predictive dashboards whisper to managers what people are probably going to buy. All of this turns a website from a dusty brochure into a keen-eyed sales assistant.

The Local Business Growth Connection

Seattle's neighborhoods are a patchwork quilt of tech labs in South Lake Union and vintage shops in Capitol Hill, and each one has something to gain. An agency that weaves AI into its code can help a coffee-roasting startup figure out which blends fly off the shelves before the first batch even cools. The same toolkit lets a vintage record store tailor its promotions, so customers feel like the deals were made just for them. Growth in the region often comes down to who can pivot the fastest, and those smart, learning websites give local brands the edge they need.

AI-driven websites do more than look sleek; they listen to you while you browse. When a site feels smart, visitors linger, fill shopping carts, and usually follow through with a purchase or a signup. The numbers show that kind of engagement usually lifts conversion rates. 

Bigger news lurks behind the scenes. Machine learning tools crunch mountains of customer data almost on the fly, letting managers spot trends before their coffee grows cold. Armed with those insights, companies-small corner shops as well as national chains-tweak products, fire off killer marketing campaigns, and sharpen the way they support buyers. A savvy local outfit can stand toe-to-toe with a corporate giant once it knows its audience that well. 

Personalization at Scale

Personalization hits a new level when AI codes the backbone of the site. Imagine a Seattle web design agency launching a platform that remembers what you browsed last Tuesday, nudges you toward similar items, and adjusts pictures or articles based on what keeps you scrolling. That sort of adaptive content feels almost one-on-one, and it pays off in repeat visits and word-of-mouth buzz.

Seattle shops might suggest a limited-edition phone case to a programmer fresh out of the glassy office towers, while handing a vintage map to a wide-eyed tourist just off the light rail. A shuttle service on Capitol Hill could offer a different route depending on whether a passenger just dropped by Pike Place or wrapped up a meeting on the waterfront. Personalization like that feels new, yet cheap, off-the-shelf A.I. tools now let a corner café tinker with its menu as easily as a tech giant shuffles quarterly slides. 

 AI chatbots are sliding behind the counters of Seattle storefronts, and the boost to customer happiness is hard to miss. A good Seattle website design agency can wire one of these digital helpers into a site so it handles quick questions, locks in a haircut, or even grabs a concert ticket while a real human restocks shelves. The bot never clocks out, meaning a tourist googling coffee at 2:00 a.m. still hears back before dawn. That kind of round-the-clock attention matters when a startup in South Lake Union lands clients on both coasts, and it keeps regulars coming back long after the lights come on.

Data-Driven Decision Making

Seattle shop owners are using AI-powered dashboards to spot trends they never noticed before. The machine-learning engines read mountains of click data, guess what customers might want next, and serve up easy-to-follow action steps.

One local website design agency pairs eye-catching layouts with these smart reports. Clients can finally see not just the usual charts, but a plain-language answer to the question Why? Adjusting stock and spending right after that insight keeps shelves full and ad dollars on target.

Competitive Advantages in the Seattle Market

Competition in Pike Place moves fast, and a lagging website feels outdated by lunch hour. Developers who plug AI into their codebase win a small, vital edge after a small, vital edge.

Because the same code can tweak loading speed overnight and spit out content ideas based on tomorrow's headlines, owners spend less time babysitting their sites. Attention can shift back to coffee blends, customer service, or whatever makes the register ring.

SEO Meets Smarter Tech

Search engine optimization loves a little brains behind the code, and that brain often comes powered by AI. Google and its ilk are on the hunt for sites that load in a snap, feel effortless to navigate, and deliver content that somehow seems written just for you. Because AI does so much of that guessing and tweaking on its own, pages running the tech frequently land higher on the search results ladder and reel in more visitors who weren't even looking for them five minutes earlier. 

Cost and Returns 

Many Seattle bosses flinch at the price tag of an AI-boosted site, but the sticker shock fades when they add up the savings. Yes, the first swing at the keyboard could cost a few extra dollars, yet automated upgrades, security sweeps, and speed fixes slice months off the upkeep bill. Shoppers stick around longer, click a few more buttons, and suddenly the early outlay looks less like a gamble and more like a canny bet on Yesterday's coffee shop in Ballard just went that route and says its bookings jumped 25 percent before the web page finished revising itself. 

Local Use Cases

Seattle is a city of quirks, which means its companies need web tricks as varied as the raincoat styles in Pike Place. A downtown bistro might let an AI suss out which tables usually get filled first, take in reservations while suggesting the seafood special most diners won't say no to. A Fremont boutique can run the same engine with stock numbers, nudging customers toward shoes that pair perfectly with that cardigan they clicked five minutes ago. Even a legal firm isnt left out; intelligent forms figure out who needs advice today and funnel the right resource links before the client ever types Hi.

Seattle's Tech Pulse

Seattle rides on the shoulders of its tech scene, and a fresh wave of AI-ready websites lets local companies show off everything from cloud software to gaming gear with smart demos and one-on-one feature tours. These sites turn a tricky sales pitch into a quick, easy click for any visitor. 

Choosing the Right Development Partner

Picking the right build firm can make or break that vision. Many shops know code inside and out, but the sweet spot comes when deep tech skill meets on-the-street knowledge of Seattle traffic, policy quirks, and startup pressure. 

Short-listed agencies should arrive with a history of shipping real-world AI tools, explain how every shiny new feature will boost revenues or cut headaches, and promise to stick around for updates, tweaks, and the occasional late-night bug. Think of them as a second brain, not just a line-item expense for the quarter. 

Future Outlook and Trends

Look ahead and you'll spot voice commands slipping naturally into product tours, augmented reality popping up in e-commerce, and sharper machine-learning patterns unlocking whole new customer paths every month. 

Companies that jump on an AI-driven site today don't just solve tomorrow's problems early; they train their teams, learn the trade-offs, and build muscle memory that'll pay off when even wilder tools arrive. A proactive step now turns into an unbeatable edge when the internet decides to evolve again.

Conclusion

AI-driven web development isn't just a buzzword anymore; it's a real shot in the arm for Seattle companies that want to grow faster, keep customers happier, and outpace the competition. Given how wired and experiment-hungry Seattle already is, adding smart tech to a website hardly feels like a leap-it feels like the next logical step.

Artificial intelligence keeps getting cheaper and easier to use, so shops that jump in early will scoop up the richest pickings. The larger question isn't whether the tech can deliver-more and more, the answer is yes-but whether a company can sit back and hope its rivals don't move first.

Ready to transform your Seattle business with AI-powered web development? Don't let your competitors get ahead while you're still thinking about it. Contact Splibit today for a free consultation and discover how our cutting-edge AI web solutions can skyrocket your business growth. Visit www.splibit.com or call us now – your future success starts with a single click!

[vaishnavipu]

How Data Science Courses Are Replacing Traditional Tuitions for Job Seekers in Pune

The job market in Pune is undergoing a significant transformation. As more industries embrace data-driven decision-making, job seekers are pivoting away from conventional tuition classes and turning towards data science courses Pune to gain practical, employable skills. Unlike traditional methods that emphasize theoretical knowledge, these modern courses focus on real-world application, which resonates more with today's competitive employment demands.

This trend is especially visible among recent graduates and career switchers who are realizing that academic excellence alone isn’t enough. They need tangible, hands-on experience with tools like Python, SQL, and machine learning models—skills that traditional tuitions rarely offer in depth.

Pune: A Budding Hub for Tech-Driven Careers

Pune, often dubbed the “Oxford of the East,” has long been known for its educational institutions. However, its rapid emergence as an IT and analytics hub is creating a new wave of demand for digital skillsets. This demand is being met by the rise of specialized data science courses Pune, which equip learners with industry-relevant tools and techniques.

As a result, more students are opting out of rote-learning based tuitions in favor of curriculum-rich data science programs that include capstone projects, case studies, and exposure to real datasets. These programs not only boost knowledge but significantly enhance employability.

Industry Alignment: What Employers Really Want

Employers in Pune are increasingly prioritizing job-ready candidates. Traditional tuition centers, while still valuable for academic purposes, fall short when it comes to aligning with market needs. In contrast, data science courses Pune are designed with input from industry professionals and are constantly updated to reflect current trends.

In a 2024 LinkedIn Emerging Jobs Report, data science was listed among the top three most in-demand skills in India. Employers seek candidates who can analyze data, generate insights, and contribute to business strategies from day one. These are exactly the skills data science courses aim to instill.

Accessibility and Flexibility: Learning on Your Terms

Another major advantage of data science courses over traditional tuition is the flexibility they offer. With online modules, recorded lectures, and weekend batches, learners can balance their studies with work or other commitments. This is a major factor for many job seekers in Pune who cannot commit to rigid class schedules.

Moreover, these courses provide learning at one’s own pace, enabling deeper understanding and retention. The accessibility of course materials, interactive coding environments, and peer discussion forums make the learning experience far richer than conventional setups.

Affordability Meets ROI

While traditional tuitions charge high fees without a direct link to job placement, data science courses Pune often provide more transparent pricing and a clearer return on investment. Learners can track their progress, build portfolios, and even receive career support—all elements that traditional tuition models typically lack.

Statistically, data science professionals in India command an average salary of ₹10 LPA, according to a 2024 report by Analytics India Magazine. This kind of financial incentive is pushing more learners to invest in skill-based education that aligns with real job outcomes.

A Cultural Shift in Career Preparation

There’s also a cultural change taking place. Parents and students in Pune are increasingly open to non-traditional education paths. The success stories of professionals who transitioned into high-paying data roles after completing short-term courses are inspiring others to follow suit.

Unlike traditional tuition that prepares students for exams, data science courses Pune prepare them for careers. They focus on projects, practical challenges, and portfolio-building—critical components that make job seekers stand out in interviews and on resumes.

As Pune's job market evolves, so do the preferences of its job seekers. Practical, flexible, and career-focused, data science courses Pune are not just complementing but replacing traditional tuitions. The shift is clear—and it’s only growing stronger.

DataMites Institute, a leading data science institute in Pune, offers comprehensive training programs in Artificial Intelligence, Machine Learning, Python Development, Data Analytics, and Certified Data Scientist courses. Accredited by IABAC and NASSCOM FutureSkills, the institute delivers expert-led instruction, practical internship opportunities, and strong placement support. For offline data science classes in Pune, DataMites is a trusted choice known for its hands-on learning approach and industry-relevant curriculum.

What is Box Plot?

[ethanstech]

Learn Smarter-Take the Best Machine Learning Classes in Pune

Let’s face it machine learning isn’t just some fancy tech trend anymore. It’s everywhere. From what you see on your social media feed to the recommendations you get on Netflix or Amazon machine learning is quietly shaping our lives every day. And if you’re in Pune (or planning to be), now is a great time to explore machine learning classes in Pune and give your career a real boost.

Whether you’re a fresh graduate wondering what’s next, a software developer looking to upskill, or someone dreaming of switching to a more exciting field machine learning could be your next big step. And lucky for you, Pune has quickly become one of the best cities in India to dive into this field.

Why Everyone’s Talking About Machine Learning

Machine learning, in simple terms, is teaching computers to learn from data and make decisions on their own. The more they “learn,” the better they get. Sounds futuristic? It is but it’s also very real and very in demand right now.

Here’s why so many people are joining machine learning classes in Pune:

There are tons of job openings in data science and AI roles

Companies are paying well for people with ML skills

It’s an exciting field with real world impact healthcare, finance, automation, even climate research

You get to work on meaningful, cutting edge technology

What You’ll Actually Learn in a Good ML Course

Don’t worry you don’t need to be a math genius or a coding wizard to get started. A good course will walk you through everything step by step. Here’s what most machine learning classes in Pune will help you master:

The basics — Learn what machine learning is and how it works

Python programming — Because it’s the most used language in ML

Popular libraries — Like Scikit learn, Pandas, TensorFlow, and Keras

Math concepts made simple — You’ll finally understand terms like regression, probability, and neural networks

Project work — Build real, hands on projects that you can show off in your resume or GitHub

Most courses also offer a certificate at the end, and many help with job placement too. So it’s not just learning it’s career planning.

How to Pick the Right Class?

Choosing the right course can feel overwhelming. Here are a few tips to help:

Look at the trainer’s experience — Are they from the industry? Do they work on real projects?

Check the course content — Make sure it’s not just theory. You want coding, projects, and problem solving.

Read reviews — Past students usually tell it like it is.

Check the schedule — If you’re working or studying, find weekend or evening batches. Flexibility matters.

The Go To Place for ML in Pune

If you’re serious about learning and want a place that’s trusted by thousands, Ethans Tech should be on your radar. Their machine learning classes in Pune are known for being practical, beginner friendly, and job oriented. The trainers are industry professionals, the curriculum is updated with real world tools, and the support doesn’t stop after the course they’ll guide you toward your career goals too.

So whether you’re new to tech or just looking to upgrade, Ethans Tech can help you confidently step into the world of machine learning.

Final Thought Machine learning is not just for coders or tech geeks anymore. With the right guidance and tools, anyone can learn it. And with so many opportunities opening up, there’s no better time than now to join machine learning classes in Pune and future proof your career.

[technicallylovingcomputer]

Top Mistakes to Avoid While Writing Smart Contracts: What I Wish I'd Known Starting Out

 If you're reading this, chances are you're either just getting into smart contract development or you've already made some of the painful mistakes I'm about to share. Trust me, I've been there – we all have. The world of blockchain development can be exciting, but it's also filled with expensive lessons waiting to happen.

After years of building smart contracts (and yes, breaking a few along the way), I've compiled the most common – and costly – mistakes that developers make. Let's dive in so you can learn from my pain instead of experiencing it yourself

1. "It Works on My Machine" – The Security Testing Trap

Here's the thing that scared me the most when I started: once you deploy a smart contract, there's no going back. Unlike that web app where you can push a hotfix at 2 AM, smart contracts are pretty much set in stone.

I learned this the hard way when I deployed my first contract without proper testing. Everything looked perfect in my local environment, but I hadn't considered what would happen when real users started interacting with it in ways I never imagined.

What I wish I'd done differently:

Spent more time writing tests than writing the actual contract (sounds crazy, but it's worth it)

Got my code reviewed by other developers before deployment

Used tools like Slither to catch vulnerabilities I missed

Actually tested on testnets for weeks, not just days

The bottom line? Your contract will be handling real money. Treat security testing like your financial future depends on it – because it probably does.

2. The Million-Dollar Mistake: Reentrancy Attacks

Remember the DAO hack? Yeah, that $60 million disaster happened because of a reentrancy vulnerability. It's basically when a malicious contract keeps calling your function before you've finished updating your records.

Think of it like this: imagine you're a bank teller, and someone asks to withdraw $100. You check their balance ($100), hand them the money, but before you can update their account, they ask for another $100. You check again (still shows $100), hand them more money, and this keeps happening until your vault is empty.

How to protect yourself:

Always update your contract's state BEFORE making external calls

Use OpenZeppelin's ReentrancyGuard – it's like having a bouncer for your functions

Follow the "checks-effects-interactions" pattern religiously

I can't stress this enough: reentrancy bugs have cost the blockchain space hundreds of millions of dollars. Don't add to that statistic.

3. Gas Fees That Make Users Cry

Nothing kills user adoption faster than gas fees that cost more than a nice dinner. I once deployed a contract that worked perfectly but cost $50+ to interact with during network congestion. Guess how many people used it? Spoiler alert: not many.

The gas optimization mistakes I made:

Storing everything in contract storage (expensive!)

Writing loops that could run forever

Using the wrong data types

Not batching operations

What actually works:

Use memory for temporary data – it's way cheaper

Think twice before every storage operation

Pack your variables efficiently

Test your functions during high gas price periods

Pro tip: If your users can't afford to use your contract during busy periods, you've probably over-engineered something.

4. "Everyone Can Be Admin" – Access Control Nightmares

Early in my blockchain development journey, I made a contract where basically anyone could call the important functions. My reasoning? "I'll add proper access control later."

Spoiler alert: "later" never came, and I'm lucky nothing bad happened.

Access control isn't just about having an owner:

Different functions need different permission levels

Consider using multi-signature wallets for critical operations

Plan for what happens if you lose access to the admin account

Think about decentralization from day one

OpenZeppelin's AccessControl is your friend here. Don't try to roll your own – you'll probably mess it up (I did).

5. Oracle Drama: When External Data Goes Wrong

Oracles are like that friend who gives you stock tips – sometimes they're right, sometimes they're catastrophically wrong. Many DeFi protocols have been exploited because they trusted oracle data blindly.

I once built a lending protocol that relied on a single price feed. During a flash crash, the oracle reported a weird price for about 30 seconds, and someone nearly drained the entire protocol. Lucky for me, the transaction failed for unrelated reasons!

Oracle survival guide:

Never trust a single oracle source

Implement circuit breakers for extreme price movements

Have a plan for when oracles go offline

Consider time-weighted averages instead of spot prices

Remember: if your contract can be manipulated by oracle data, someone will eventually try to manipulate it.

6. Error Messages That Say Nothing

solidityrequire(condition, "Error")

If I had a dollar for every time I wrote lazy error messages like this... well, I'd have enough money to hire someone to write better error messages.

When users interact with your contract and something goes wrong, they deserve to know what happened. "Error" tells them nothing. "Insufficient balance for withdrawal" tells them everything.

Better error handling:

Write error messages that your grandmother could understand

Handle external call failures gracefully

Make sure failed transactions don't leave your contract in a weird state

Test what happens when everything goes wrong

Your future self (and your users) will thank you for descriptive error messages.

7. The "We'll Never Need to Update This" Fallback

Here's a harsh truth: your first version won't be perfect. You'll find bugs, want new features, or need to adapt to changing regulations. If you don't plan for upgrades, you're planning for obsolescence.

I've seen too many projects abandon perfectly good contracts because they couldn't fix a small bug or add a crucial feature.

Upgrade planning that actually works:

Use proxy patterns (OpenZeppelin makes this easier)

Plan your upgrade governance from day one

Test upgrade procedures thoroughly

Consider what data needs to migrate

But here's the catch: upgradeable contracts are more complex and have their own security considerations. It's a trade-off, but usually worth it.

8. Documentation That Nobody Understands

"The code is self-documenting" – said every developer who later couldn't remember why they wrote something.

In blockchain development, good documentation isn't just nice to have – it's essential for security audits, team collaboration, and community adoption.

Documentation that actually helps:

Explain WHY you did something, not just what you did

Include examples of how to interact with your contract

Document known limitations and gotchas

Write for developers who aren't you

I started treating documentation as part of the product, not an afterthought. The difference in adoption and feedback was night and day.

9. Testing Only in Paradise (Local Networks)

Your local blockchain is perfect: no congestion, predictable gas prices, infinite ETH. The real world? Not so much.

I learned this when my contract worked flawlessly locally but became unusable on mainnet during busy periods.

Real-world testing checklist:

Test on multiple testnets with different characteristics

Simulate high gas price scenarios

Try your contract during network congestion

Test interactions with other real deployed contracts

The goal is to find problems before your users do.

10. Ignoring the Legal Elephant in the Room

Here's something they don't teach in blockchain development tutorials: regulations exist, and they're getting stricter.

I've seen projects shut down because they didn't consider compliance from the start. You don't have to become a lawyer, but you should at least think about regulatory requirements.

Basic compliance considerations:

Research regulations in your target markets

Consider implementing KYC/AML if needed

Think about securities law implications

Have terms of service that actually make sense

When in doubt, talk to a lawyer who understands blockchain. It's cheaper than fixing legal problems later.

The Real Talk: Learning from Mistakes

Look, I've made most of these mistakes myself. That $500 gas fee bug? Been there. The reentrancy vulnerability? Found it during audit (thankfully). The oracle manipulation? Almost got me.

The blockchain development space is unforgiving, but it's also incredible. Every mistake is a learning opportunity, and the community is generally pretty good about sharing knowledge.

What's Next?

Smart contract development is constantly evolving. New attack vectors emerge, better tools are developed, and best practices change. The key is staying curious, staying humble, and never stopping learning.

Some resources that have saved my bacon:

OpenZeppelin's contracts and documentation

Trail of Bits' security resources

ConsenSys Diligence blog

The Ethereum community forums

Remember, even experienced blockchain developers are still learning. The space moves fast, and what was secure yesterday might not be secure today.

Conclusion

Building smart contracts is like being a digital architect – you're creating structures that need to stand the test of time and protect people's assets. It's a big responsibility, but also an incredible opportunity.

Take your time, test thoroughly, ask for help when you need it, and remember that every expert was once a beginner who made these same mistakes.

[cleveredlearning]

Unlock the Future: Space & Generative AI Internship Program for Students and Kids with Clevered

In an era where space exploration and artificial intelligence are reshaping the future, the minds that will drive the next big leap are still sitting in classrooms. At Clevered, we believe in empowering these young minds early—by immersing them in real-world, futuristic technologies like Space Science and Generative AI. Our Space & Generative AI Internship Program is a one-of-a-kind opportunity for students and kids to step into the future today.

Whether your child dreams of becoming an astronaut, a NASA scientist, or an AI innovator, this internship acts as a launchpad. Designed for students aged 8–18, this hybrid learning experience offers practical exposure, industry-relevant skills, and mentorship from real experts in space technology and artificial intelligence.

Why Space & Generative AI for Kids?

The world is changing fast. By 2030, AI is expected to contribute over $15 trillion to the global economy, and private and public investments in space technologies are surging. Yet, most school systems are not equipped to teach these topics in depth. That’s where Clevered steps in—with a mission to bridge the gap between academic education and futuristic careers.

Space Science nurtures curiosity, critical thinking, and problem-solving skills. Generative AI—AI that can create, write, paint, code, and even design—is transforming industries from healthcare to entertainment. When kids learn these together, they don’t just become students of the future; they become creators of it.

Program Overview: A Gateway to Space & AI Exploration

The Space & Generative AI Internship Program is a carefully crafted experiential learning journey designed by industry professionals, AI engineers, space researchers, and child education experts.

Duration

4 to 8 weeks (Flexible batches available throughout the year)

Eligibility

Students aged 8 to 18 years Basic computer literacy required; no prior coding or science background needed

Mode

Hybrid – Online live sessions + hands-on projects + optional in-person workshops at partner STEM labs (Dubai, Bangalore, Mumbai)

Certification

·         Co-branded certificate from Clevered and industry partners

·         LORs (Letters of Recommendation) for exceptional performers

·         Project showcase opportunity at the Clevered Global Innovation Fair

What Students Will Learn

The curriculum is divided into two intertwined tracks—Space Tech and Generative AI—delivered through interactive, age-appropriate modules:

🚀 Track 1: Space Science & Exploration

1.      Introduction to Astronomy & the Solar System Students explore the basics of planetary science, stars, galaxies, and telescopes.

2.      Understanding Rockets and Satellites Learn how rockets work, what goes into satellite launches, and the basics of orbital mechanics.

3.      Mars Missions & Moon Landings Analyze real missions from ISRO, NASA, and SpaceX. Create mission plans using simulation software.

4.      Build Your Own Satellite Prototype (Mini Project) Guided STEM project using kits or simulations to model a cube satellite.

5.      Astronaut Training Simulations Engage in VR-based or roleplay simulations on space survival, robotics, and space station life.

🤖 Track 2: Generative AI for Kids

1.      What is Generative AI? A fun and visual introduction to how machines can write, paint, design, and think creatively.

2.      AI Art, Music, and Storytelling Kids generate their own AI-based poems, songs, and digital paintings using tools like DALL·E, ChatGPT, and more.

3.      Create with AI: Your Own Chatbot Design and train a basic chatbot using visual, block-based coding platforms like Scratch, Teachable Machine, or simplified Python.

4.      Space Meets AI: Predicting Asteroid Impact, Simulating Mars Terrain Blend space science and AI to solve fictional problems—like predicting meteor showers or navigating rovers on alien surfaces.

5.      Capstone Project: AI + Space Challenge Each student builds a final project—examples include an AI assistant for astronauts, a space weather predictor, or a generative AI model that designs space suits!

Why Choose Clevered?

Clevered is redefining future-ready education through experiential learning in cutting-edge fields. Our Space & Generative AI Internship isn’t just a program—it’s a movement to equip students for the Fourth Industrial Revolution.

✅ Mentorship by Experts

Our mentors include AI engineers, space technologists, scientists from leading organizations, and certified educators with a passion for youth development.

✅ Project-Based Learning

Every student completes multiple projects and gets hands-on experience, which is perfect for portfolios, college applications, and competitions.

✅ Flexible Scheduling

With global participants and school-going kids, we offer flexible timings, weekend batches, and customized pace options.

✅ Innovation-Focused Certification

Every graduate gets an industry-endorsed certificate that validates their learning and stands out on academic profiles.

✅ Global Exposure

Students interact with peers across geographies in our global classrooms—learning about diversity, teamwork, and collaboration.

Who Should Join?

This internship is ideal for:

·         Students passionate about science, space, or AI

·         Young innovators preparing for future careers in tech

·         Kids who enjoy building, creating, and asking questions

·         Parents looking to enrich their child’s education beyond school

·         STEM competition aspirants (Olympiads, NASA challenges, Hackathons)

Real-World Impact

After completing the internship, students don’t just walk away with knowledge—they build confidence, clarity, and a sense of purpose. Many go on to:

·         Participate in international science fairs and AI contests

·         Launch their own mini research projects or apps

·         Join Clevered’s Advanced Innovation League for continued mentorship

·         Apply for scholarships with a strong project-based portfolio

·         Spark interest in STEM careers and university tracks

What Parents Are Saying

"My daughter used to doodle rockets in her school notebook. After the internship, she presented a full mission plan to 'terraform Mars'—and even explained how AI could help!" — Ayesha, parent of 12-year-old Clevered student

"Clevered’s Space & AI program is like a dream come true. My son now knows more about satellites and coding than I do!" — Rahul, parent of 14-year-old intern

How to Enroll

1.      Visit our website at https://www.clevered.com/internship-sgaip

2.      Choose your preferred batch (weekday/weekend)

3.      Complete the simple application form

4.      Receive an onboarding kit and project guide

5.      Start your cosmic + AI journey!

Limited slots per batch. Early enrollment is encouraged.

Let Your Child Dream Bigger with Clevered

The future belongs to creators, innovators, and problem-solvers. At Clevered, we believe in starting that journey early. With our Space & Generative AI Internship Program, students not only learn cutting-edge technologies but also discover who they can become.

Whether your child wants to code a Mars rover or design with AI, Clevered gives them the tools, guidance, and inspiration to aim high—literally and figuratively.

Let’s create the future together—one young innovator at a time.

[vasavipotti]

Power BI and AI: Smarter Dashboards for Smarter Businesses

In today’s data-driven world, businesses are constantly seeking innovative ways to turn raw data into meaningful insights. One powerful solution leading this transformation is Power BI, especially when integrated with Artificial Intelligence (AI). The combination of Power BI and AI is revolutionizing how organizations analyze data, make decisions, and drive smarter business strategies.

Why Power BI + AI Is a Game-Changer

Power BI is Microsoft’s powerful business analytics tool, enabling users to visualize data and share insights across the organization. With the integration of AI features, Power BI goes beyond traditional dashboards by offering predictive insights, automated machine learning models, natural language queries, and anomaly detection—all within a user-friendly interface.

Key Benefits of Power BI with AI Integration

1. Enhanced Data Exploration

AI enables natural language queries using Q&A visuals in Power BI. This means you can simply type a question like "What were last quarter’s sales in Hyderabad?" and get instant answers.

2. Automated Insights

With features like Smart Narratives and Decomposition Trees, Power BI helps you automatically generate explanations and uncover the “why” behind the data.

3. Predictive Analytics Made Simple

Thanks to Azure Machine Learning and AutoML, users can build and apply machine learning models directly within Power BI—even without deep coding knowledge.

4. Anomaly Detection

AI visuals detect outliers and sudden changes in data, helping businesses identify critical issues before they escalate.

5. Improved Decision-Making

Smarter dashboards powered by AI provide real-time, actionable insights, leading to faster and more informed decision-making.

Real-World Use Cases

Retail: Predict customer demand and optimize inventory.

Finance: Detect fraud and monitor transactions in real-time.

Healthcare: Analyze patient data to improve diagnosis and treatment outcomes.

Manufacturing: Monitor production metrics and detect inefficiencies early.

Why Choose Power BI Training in KPHB?

If you want to leverage Power BI’s AI capabilities, proper training is essential. At Naresh i Technologies, we offer expert-led Power BI training in KPHB designed to give you hands-on experience in building smart dashboards using AI-powered tools.

✅ Practical training with real-time projects ✅ Learn DAX, Power Query, and AI visuals ✅ Industry-level case studies ✅ Placement support

👉 Visit our website to enroll now and explore FAQs, syllabus, and upcoming batch details.

Frequently Asked Questions (FAQs)

Q1: Do I need coding skills to use AI in Power BI? A: No, Power BI’s AI features like Smart Narratives, AutoML, and Q&A are designed for business users with minimal technical background.

Q2: Can I connect AI models built in Azure to Power BI? A: Yes, Power BI integrates with Azure Machine Learning, allowing you to connect and use pre-trained models.

Q3: How do AI-powered visuals improve dashboard performance? A: AI visuals uncover trends, patterns, and anomalies faster, enabling quicker insights and data-driven decisions.

Q4: What industries benefit the most from Power BI and AI integration? A: Industries such as retail, finance, healthcare, logistics, and education are seeing tremendous value from smart dashboards.

Q5: Where can I get hands-on training on Power BI with AI features? A: Join the Power BI training in KPHB at Naresh i Technologies for in-depth, real-world learning experiences.

Final Thoughts

The future of business intelligence lies in the seamless blend of data and AI. Power BI, enhanced with AI capabilities, is enabling businesses to make smarter decisions faster. If you want to stay ahead in the analytics game, now is the time to upskill.

👉 Ready to build smarter dashboards? 👉 Visit our website and get started with Power BI training in KPHB today!