#AI Coding Courses

[jeremycheezumcritic]

2025 Guide to 20+ Hands-On AI and ML Projects with Source Code

INTRODUCTION:

Looking to dive deep into the world of Artificial Intelligence and Machine Learning? Whether you’re just getting started or sharpening your skills, this list of 20+ exciting projects will guide you through some of the most fascinating applications of AI. Covering areas like healthcare, agriculture, natural language processing, computer vision, and predictive analytics, these projects offer hands-on experience with real-world data and problems. Each project includes source code so you can jump right in!

Why These Projects Matter

AI is reshaping industries, from transforming healthcare diagnoses to creating smarter farming solutions and enhancing customer service. But to truly understand how these systems work, you need hands-on experience. Working on projects not only hones your technical skills but also gives you something tangible to showcase to potential employers or collaborators.

Key Skills You’ll Develop

Here’s a quick look at what you’ll learn while working through these projects:

Data Preprocessing: Essential skills for handling and preparing data, including data cleaning, augmentation, and feature engineering.

Model Selection and Training: How to choose, build, and train models, such as CNNs, Transformers, and YOLO.

Hyperparameter Tuning: Fine-tuning models to optimise accuracy with techniques like dropout, batch normalisation, and early stopping.

Deployment and Real-Time Inference: How to deploy models with interactive interfaces (e.g., Gradio, Streamlit) to make real-time predictions.

Model Evaluation: Analysing performance metrics such as accuracy, precision, recall, and F1-score to ensure reliability.

Tools You’ll Need

Most of these projects use popular ML and AI libraries that make building, training, and deploying models a breeze:

Python: A must-have for AI projects, using libraries like Numpy, Pandas, and Matplotlib for data manipulation and visualisation.

TensorFlow & Keras: Perfect for building and training deep learning models.

PyTorch: Great for deep learning, especially for tasks involving complex image and text data.

Scikit-Learn: Ideal for traditional ML algorithms, data preprocessing, and model evaluation.

OpenCV: For image processing in computer vision projects.

Gradio and Streamline: Tools to create interactive apps and real-time demos for your models.

Getting Started

Pick a Project that Excites You: Choose one based on your interest and experience level. For beginners, start with something like Vegetable Classification or Blood Cell Classification. Advanced users can explore Voice Cloning or Semantic Search.

Set Up Your Environment: Google Colab is a great option for training models without needing powerful hardware. For local environments, install Python, TensorFlow, and PyTorch.

Study the Code and Documentation: Carefully go through the code and documentation. Check out the library documentation for any new functions you encounter.

Experiment and Modify: Once you’ve built a project, try making it your own by tuning hyperparameters, using different datasets, or experimenting with new models.

Showcase Your Work: Deploy your projects on GitHub or create a portfolio. Share them on LinkedIn or Medium to connect with the AI community!

24 Inspiring AI & ML Projects to Try

Below, you’ll find a collection of projects that range from beginner to advanced levels, covering a variety of fields to give you well-rounded exposure to the world of AI.

1. Voice Cloning Application Using RVC

Overview: Create a realistic voice clone using RVC models. This project guides you through the steps to collect data, train the model, and generate a customizable voice clone that replicates tone, pitch, and accent.

Perfect For: Those interested in NLP, voice tech, or audio engineering.

Tools: RVC, Deep Learning Models, Google Colab

2. Automatic Eye Cataract Detection Using YOLOv8

Overview: Build a fast, accurate YOLOv8 model to detect cataracts in eye images, supporting healthcare professionals in diagnosing cataracts quickly.

Perfect For: Medical imaging researchers, healthcare tech enthusiasts.

Tools: YOLOv8, Gradio, TensorFlow/Keras

3. Crop Disease Detection Using YOLOv8

Overview: Designed for real-time use, this project uses YOLOv8 to detect and classify diseases in plants, helping farmers identify issues early and take action to protect their crops.

Perfect For: Those interested in agriculture, AI enthusiasts.

Tools: YOLOv8, Gradio, Google Colab

4. Vegetable Classification with Parallel CNN Model

Overview: This project automates vegetable sorting using a Parallel CNN model, improving efficiency in the food industry.

Perfect For: Beginners in ML, food industry professionals.

Tools: TensorFlow/Keras, Python

5. Banana Leaf Disease Detection Using Vision Transformer

Overview: Detects diseases on banana leaves early with a Vision Transformer model, a powerful approach to prevent crop losses.

Perfect For: Agricultural tech enthusiasts, AI learners.

Tools: Vision Transformer, TensorFlow/Keras

6. Leaf Disease Detection Using Deep Learning

Overview: Train CNN models like VGG16 and EfficientNet to detect leaf diseases, helping farmers promote healthier crops.

Perfect For: Botanists, agricultural researchers.

Tools: VGG16, EfficientNet, TensorFlow/Keras

7. Glaucoma Detection Using Deep Learning

Overview: This project uses CNNs to detect early signs of glaucoma in eye images, aiding in early intervention and preventing vision loss.

Perfect For: Healthcare researchers, AI enthusiasts.

Tools: CNN, TensorFlow/Keras, Python

8. Blood Cell Classification Using Deep Learning

Overview: Classify blood cell images with CNNs, EfficientNetB4, and VGG16 to assist in medical research and diagnostics.

Perfect For: Medical researchers, beginners.

Tools: CNN, EfficientNet, TensorFlow/Keras

9. Skin Cancer Detection Using Deep Learning

Overview: Detects skin cancer early using CNN models like DenseNet121 and EfficientNetB4, helping improve diagnostic accuracy.

Perfect For: Healthcare providers, dermatologists.

Tools: DenseNet121, EfficientNet, TensorFlow/Keras

10. Cervical Cancer Detection Using Deep Learning

Overview: Use EfficientNetB0 to classify cervical cell images, assisting in early detection of cervical cancer.

Perfect For: Pathologists, AI researchers.

Tools: EfficientNetB0, TensorFlow/Keras

11. Nutritionist Generative AI Doctor Using Gemini

Overview: An AI-powered nutritionist that uses the Gemini model to offer diet insights tailored to user needs.

Perfect For: Nutritionists, health tech developers.

Tools: Gemini Pro, Python

12. Chatbots with Generative AI Models

Overview: Build advanced chatbots with GPT-3.5-turbo and GPT-4 for customer service or personal assistants.

Perfect For: Customer service, business owners.

Tools: GPT-3.5-turbo, GPT-4, OpenAI API

13. Insurance Pricing Forecast Using XGBoost Regressor

Overview: Use XGBoost to forecast healthcare costs, aiding insurance companies in setting premiums.

Perfect For: Finance professionals, data scientists.

Tools: XGBoost, Python

14. Linear Regression Modeling for Soccer Player Performance Prediction in the EPL

Overview: Predict EPL player performance using linear regression on player stats like goals, assists, and time on field.

Perfect For: Sports analysts, data scientists.

Tools: Linear Regression, Python

15. Complete CNN Image Classification Models for Real Time Prediction

Overview: Create a real-time image classification model for applications like quality control or face recognition.

Perfect For: AI developers, image processing engineers.

Tools: CNN, TensorFlow/Keras

16. Predictive Analytics on Business License Data Using Deep Learning

Overview: Analyze patterns in business licenses to uncover trends and insights, using DNN.

Perfect For: Business analysts, entrepreneurs.

Tools: DNN, Pandas, Numpy, TensorFlow

17. Image Generation Model Fine Tuning With Diffusers Models

Overview: Get creative with AI by fine-tuning models for realistic image synthesis, using Diffusers.

Perfect For: Content creators, AI enthusiasts.

Tools: Diffusers, Stable Diffusion, Gradio

18.Question Answer System Training With Distilbert Base Uncased

Overview: Build a question-answering system with DistilBERT, optimized for high accuracy.

Perfect For: NLP developers, educational platforms.

Tools: DistilBERT, Hugging Face Transformers

19. Semantic Search Using Msmarco Distilbert Base & Faiss Vector Database

Overview: Speed up search results with a semantic search system that uses DistilBERT and Faiss.

Perfect For: Search engines, e-commerce.

Tools: Faiss, DistilBERT, Transformers

20. Document Summarization Using Sentencepiece Transformers

Overview: Automatically create summaries of lengthy documents, streamlining information access.

Perfect For: Content managers, researchers.

Tools: Sentencepiece, Transformers

21. Customer Service Chatbot Using LLMs

Overview: Create a chatbot for customer service using advanced LLMs to provide human-like responses.

Perfect For: Customer support teams, business owners.

Tools: LLMs, Transformers

22. Real-Time Human Pose Detection With YOLOv8 Models

Overview: Use YOLOv8 to identify human poses in real time, ideal for sports analysis and safety applications.

Perfect For: Sports analysts, fitness trainers.

Tools: YOLOv8, COCO Dataset

23.Real-Time License Plate Detection Using YOLOv8 and OCR Model

Overview: Detect license plates in real-time for traffic monitoring and security.

Perfect For: Security, smart city developers.

Tools: YOLOv8, OCR

24. Medical Image Segmentation With UNET

Overview: Improve medical image analysis by applying UNET for segmentation tasks.

Perfect For: Radiologists, healthcare researchers.

Tools: UNET, TensorFlow/Keras

This collection of projects not only provides technical skills but also enhances problem-solving abilities, giving you the chance to explore the possibilities of AI in various industries. Enjoy coding and happy learning!

[jcmarchi]

The Importance of Investing in Soft Skills in the Age of AI

New Post has been published on https://thedigitalinsider.com/the-importance-of-investing-in-soft-skills-in-the-age-of-ai/

The Importance of Investing in Soft Skills in the Age of AI

I’ll set out my stall and let you know I am still an AI skeptic. Heck, I still wrap “AI” in quotes a lot of the time I talk about it. I am, however, skeptical of the present, rather than the future. I wouldn’t say I’m positive or even excited about where AI is going, but there’s an inevitability that in development circles, it will be further engrained in our work.

We joke in the industry that the suggestions that AI gives us are more often than not, terrible, but that will only improve in time. A good basis for that theory is how fast generative AI has improved with image and video generation. Sure, generated images still have that “shrink-wrapped” look about them, and generated images of people have extra… um… limbs, but consider how much generated AI images have improved, even in the last 12 months.

There’s also the case that VC money is seemingly exclusively being invested in AI, industry-wide. Pair that with a continuously turbulent tech recruitment situation, with endless major layoffs and even a skeptic like myself can see the writing on the wall with how our jobs as developers are going to be affected.

The biggest risk factor I can foresee is that if your sole responsibility is to write code, your job is almost certainly at risk. I don’t think this is an imminent risk in a lot of cases, but as generative AI improves its code output — just like it has for images and video — it’s only a matter of time before it becomes a redundancy risk for actual human developers.

Do I think this is right? Absolutely not. Do I think it’s time to panic? Not yet, but I do see a lot of value in evolving your skillset beyond writing code. I especially see the value in improving your soft skills.

What are soft skills?

A good way to think of soft skills is that they are life skills. Soft skills include:

communicating with others,

organizing yourself and others,

making decisions, and

adapting to difficult situations.

I believe so much in soft skills that I call them core skills and for the rest of this article, I’ll refer to them as core skills, to underline their importance.

The path to becoming a truly great developer is down to more than just coding. It comes down to how you approach everything else, like communication, giving and receiving feedback, finding a pragmatic solution, planning — and even thinking like a web developer.

I’ve been working with CSS for over 15 years at this point and a lot has changed in its capabilities. What hasn’t changed though, is the core skills — often called “soft skills” — that are required to push you to the next level. I’ve spent a large chunk of those 15 years as a consultant, helping organizations — both global corporations and small startups — write better CSS. In almost every single case, an improvement of the organization’s core skills was the overarching difference.

The main reason for this is a lot of the time, the organizations I worked with coded themselves into a corner. They’d done that because they just plowed through — Jira ticket after Jira ticket — rather than step back and question, “is our approach actually working?” By focusing on their team’s core skills, we were often — and very quickly — able to identify problem areas and come up with pragmatic solutions that were almost never development solutions. These solutions were instead:

Improving communication and collaboration between design and development teams

Reducing design “hand-off” and instead, making the web-based output the source of truth

Moving slowly and methodically to move fast

Putting a sharp focus on planning and collaboration between developers and designers, way in advance of production work being started

Changing the mindset of “plow on” to taking a step back, thoroughly evaluating the problem, and then developing a collaborative and by proxy, much simpler solution

Will improving my core skills actually help?

One thing AI cannot do — and (hopefully) never will be able to do — is be human. Core skills — especially communication skills — are very difficult for AI to recreate well because the way we communicate is uniquely human.

I’ve been doing this job a long time and something that’s certainly propelled my career is the fact I’ve always been versatile. Having a multifaceted skillset — like in my case, learning CSS and HTML to improve my design work — will only benefit you. It opens up other opportunities for you too, which is especially important with the way the tech industry currently is.

If you’re wondering how to get started on improving your core skills, I’ve got you. I produced a course called Complete CSS this year but it’s a slight rug-pull because it’s actually a core skills course that uses CSS as a context. You get to learn some iron-clad CSS skills alongside those core skills too, as a bonus. It’s definitely worth checking out if you are interested in developing your core skills, especially so if you receive a training budget from your employer.

Wrapping up

The main message I want to get across is developing your core skills is as important — if not more important — than keeping up to date with the latest CSS or JavaScript thing. It might be uncomfortable for you to do that, but trust me, being able to stand yourself out over AI is only going to be a good thing, and improving your core skills is a sure-fire way to do exactly that.

[dragontatoes]

why is everything engineering now. I'm doing my homework and one question is "What is the wavelength of a microwave with the frequency of 900 MHz? Include reasoning." bitch I'm studying HORTICULTURE

[yakool-foolio]

Same energy

[brokenrefraction]

Wow atleast my stupid app works

[discoreptile]

As of yet unnamed game card art!

[cqattmu]

Codeacademy Training

Thanks to the code academy free training courses, I learned more about AI and even tried my hand at coding!

[fortunerobotic]

5 Arduino Courses for Beginners

Robotics, automation, and do-it-yourself electronics projects have all been transformed by Arduino, an open-source electronics platform. Entering the world of Arduino may seem intimidating to novices, but the correct course may make learning easier and more fun. 

Arduino Step-by-Step: Getting Started (Udemy)

This extensive Udemy course is designed for complete novices. It provides an overview of Arduino's fundamentals, describing how the platform functions and assisting students with easy tasks like using sensors and manipulating LEDs.

Key Highlights:

thorough explanations for novices.

practical projects with practical uses.

instructions for configuring and debugging your Arduino board.

Introduction to Arduino (Coursera)

The main objective of this course is to introduce Arduino programming with the Arduino IDE. It goes over the fundamentals of circuits, programming, and connecting various parts, such as motors and sensors.

Key Highlights:

instructed by academics from universities.

access to a certificate of completion and graded assignments.

Concepts are explained in length but in a beginner-friendly manner.

Arduino for Absolute Beginners (Skillshare)

For those who want a quick introduction to Arduino, this brief project-based course is perfect. You'll discover how to configure and program your Arduino board to produce interactive projects.

Key Highlights:

teachings in bite-sized chunks for speedy learning.

simple projects for beginners, such as sound sensors and traffic light simulations.

Peer support and community conversations.

Exploring Arduino: Tools and Techniques for Engineering Wizardry (LinkedIn Learning)

This course delves deeply into Arduino programming and hardware integration, drawing inspiration from Jeremy Blum's well-known book. It is intended to provide you with the skills and resources you need to produce complex projects.

Key Highlights:

advice on creating unique circuits.

combining displays, motors, and sensors.

Code optimization and debugging best practices.

Arduino Programming and Hardware Fundamentals with Hackster (EdX)

This course, which is being offered in partnership with Hackster.io, covers the basics of Arduino hardware and programming. You may experiment with real-world applications because it is project-based.

Key Highlights:

Course materials are freely accessible (certification is optional).

extensive robotics and Internet of Things projects.

interaction with teachers and other students in the community.

Arduino is a great place to start if you want to construct a robot, make a smart home gadget, or just pick up a new skill. The aforementioned courses accommodate a variety of learning preferences and speeds, so every novice can discover the ideal fit. Select a course, acquire an Arduino starter kit, and set out on an exciting adventure into programming and electronics!

To know more, click here.

[learn24x]

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#LearnToCode #ProgrammingCourses #CareerBoost #TechSkills #FreeGuidance #Learn24x #FutureReady #SQL #FullStack #DigitalMarketing #OnlineLearning #TechJourney

[bigleapblog]

Your Guide to B.Tech in Computer Science & Engineering Colleges

In today's technology-driven world, pursuing a B.Tech in Computer Science and Engineering (CSE) has become a popular choice among students aspiring for a bright future. The demand for skilled professionals in areas like Artificial Intelligence, Machine Learning, Data Science, and Cloud Computing has made computer science engineering colleges crucial in shaping tomorrow's innovators. Saraswati College of Engineering (SCOE), a leader in engineering education, provides students with a perfect platform to build a successful career in this evolving field.

Whether you're passionate about coding, software development, or the latest advancements in AI, pursuing a B.Tech in Computer Science and Engineering at SCOE can open doors to endless opportunities.

Why Choose B.Tech in Computer Science and Engineering?

Choosing a B.Tech in Computer Science and Engineering isn't just about learning to code; it's about mastering problem-solving, logical thinking, and the ability to work with cutting-edge technologies. The course offers a robust foundation that combines theoretical knowledge with practical skills, enabling students to excel in the tech industry.

At SCOE, the computer science engineering courses are designed to meet industry standards and keep up with the rapidly evolving tech landscape. With its AICTE Approved, NAAC Accredited With Grade-"A+" credentials, the college provides quality education in a nurturing environment. SCOE's curriculum goes beyond textbooks, focusing on hands-on learning through projects, labs, workshops, and internships. This approach ensures that students graduate not only with a degree but with the skills needed to thrive in their careers.

The Role of Computer Science Engineering Colleges in Career Development

The role of computer science engineering colleges like SCOE is not limited to classroom teaching. These institutions play a crucial role in shaping students' futures by providing the necessary infrastructure, faculty expertise, and placement opportunities. SCOE, established in 2004, is recognized as one of the top engineering colleges in Navi Mumbai. It boasts a strong placement record, with companies like Goldman Sachs, Cisco, and Microsoft offering lucrative job opportunities to its graduates.

The computer science engineering courses at SCOE are structured to provide a blend of technical and soft skills. From the basics of computer programming to advanced topics like Artificial Intelligence and Data Science, students at SCOE are trained to be industry-ready. The faculty at SCOE comprises experienced professionals who not only impart theoretical knowledge but also mentor students for real-world challenges.

Highlights of the B.Tech in Computer Science and Engineering Program at SCOE

Comprehensive Curriculum: The B.Tech in Computer Science and Engineering program at SCOE covers all major areas, including programming languages, algorithms, data structures, computer networks, operating systems, AI, and Machine Learning. This ensures that students receive a well-rounded education, preparing them for various roles in the tech industry.

Industry-Relevant Learning: SCOE’s focus is on creating professionals who can immediately contribute to the tech industry. The college regularly collaborates with industry leaders to update its curriculum, ensuring students learn the latest technologies and trends in computer science engineering.

State-of-the-Art Infrastructure: SCOE is equipped with modern laboratories, computer centers, and research facilities, providing students with the tools they need to gain practical experience. The institution’s infrastructure fosters innovation, helping students work on cutting-edge projects and ideas during their B.Tech in Computer Science and Engineering.

Practical Exposure: One of the key benefits of studying at SCOE is the emphasis on practical learning. Students participate in hands-on projects, internships, and industry visits, giving them real-world exposure to how technology is applied in various sectors.

Placement Support: SCOE has a dedicated placement cell that works tirelessly to ensure students secure internships and job offers from top companies. The B.Tech in Computer Science and Engineering program boasts a strong placement record, with top tech companies visiting the campus every year. The highest on-campus placement offer for the academic year 2022-23 was an impressive 22 LPA from Goldman Sachs, reflecting the college’s commitment to student success.

Personal Growth: Beyond academics, SCOE encourages students to participate in extracurricular activities, coding competitions, and tech fests. These activities enhance their learning experience, promote teamwork, and help students build a well-rounded personality that is essential in today’s competitive job market.

What Makes SCOE Stand Out?

With so many computer science engineering colleges to choose from, why should you consider SCOE for your B.Tech in Computer Science and Engineering? Here are a few factors that make SCOE a top choice for students:

Experienced Faculty: SCOE prides itself on having a team of highly qualified and experienced faculty members. The faculty’s approach to teaching is both theoretical and practical, ensuring students are equipped to tackle real-world challenges.

Strong Industry Connections: The college maintains strong relationships with leading tech companies, ensuring that students have access to internship opportunities and campus recruitment drives. This gives SCOE graduates a competitive edge in the job market.

Holistic Development: SCOE believes in the holistic development of students. In addition to academic learning, the college offers opportunities for personal growth through various student clubs, sports activities, and cultural events.

Supportive Learning Environment: SCOE provides a nurturing environment where students can focus on their academic and personal growth. The campus is equipped with modern facilities, including spacious classrooms, labs, a library, and a recreation center.

Career Opportunities After B.Tech in Computer Science and Engineering from SCOE

Graduates with a B.Tech in Computer Science and Engineering from SCOE are well-prepared to take on various roles in the tech industry. Some of the most common career paths for CSE graduates include:

Software Engineer: Developing software applications, web development, and mobile app development are some of the key responsibilities of software engineers. This role requires strong programming skills and a deep understanding of software design.

Data Scientist: With the rise of big data, data scientists are in high demand. CSE graduates with knowledge of data science can work on data analysis, machine learning models, and predictive analytics.

AI Engineer: Artificial Intelligence is revolutionizing various industries, and AI engineers are at the forefront of this change. SCOE’s curriculum includes AI and Machine Learning, preparing students for roles in this cutting-edge field.

System Administrator: Maintaining and managing computer systems and networks is a crucial role in any organization. CSE graduates can work as system administrators, ensuring the smooth functioning of IT infrastructure.

Cybersecurity Specialist: With the growing threat of cyberattacks, cybersecurity specialists are essential in protecting an organization’s digital assets. CSE graduates can pursue careers in cybersecurity, safeguarding sensitive information from hackers.

Conclusion: Why B.Tech in Computer Science and Engineering at SCOE is the Right Choice

Choosing the right college is crucial for a successful career in B.Tech in Computer Science and Engineering. Saraswati College of Engineering (SCOE) stands out as one of the best computer science engineering colleges in Navi Mumbai. With its industry-aligned curriculum, state-of-the-art infrastructure, and excellent placement record, SCOE offers students the perfect environment to build a successful career in computer science.

Whether you're interested in AI, data science, software development, or any other field in computer science, SCOE provides the knowledge, skills, and opportunities you need to succeed. With a strong focus on hands-on learning and personal growth, SCOE ensures that students graduate not only as engineers but as professionals ready to take on the challenges of the tech world.

If you're ready to embark on an exciting journey in the world of technology, consider pursuing your B.Tech in Computer Science and Engineering at SCOE—a college where your future takes shape.

[jadeharleyinc]

if we listened to you game engines like Unity wouldn't exist and we wouldn't have a vibrant, accessible indie game dev scene.

the indie video games you love exist because some people did not enjoy the "satisfaction" and "joy" and "accomplishments" of creative processes like "writing your own physics engine by yourself" and decided to automate that process!

for some people, like us programmers, creation isn't about having fun with the rote process. for some of us, creation is about creating a final product. for some of us, a creative process automated and reduced to its bare essentials is satisfying in its own rights. if you don't understand this, maybe you should try programming.

Unpopular opinion but if you don't enjoy the process you should find a different thing to do.

And I think this is true in general but now I'm talking about it in the context of AI.

If you don't enjoy making art and only care about the end piece and how it'll look and how much traction it"lol get online then making art is not something for you, find something you enjoy from start to finish.

Same goes for writing: if you do not enjoy writing and rewriting and then some more and instead want AI to write for you, being a writer is not something you should pursue.

Sure, not every part of creative process is going to be equally enjoyable but you should get satisfaction from solving the problems along the way and you should get a sense of accomplishment on your way of "making the piece yours" and you should have a sense of ownership once you are done.

None of these things will come from typing in a prompt into chatGPT. And I am sad to see so many people are missing on the opportunity to experience the joy of making something with their own hands and brains.

Just give it a try and if you don't like it don't do it again.

But also don't let the expectations of it coming out perfect ruin the fun you are having while making the thing. Because what if I told you this: having fun while creating is the actual purpose of the creative process, not whatever comes out of it.

[jcmarchi]

Weekly News for Designers № 719

New Post has been published on https://thedigitalinsider.com/weekly-news-for-designers-%e2%84%96-719/

Weekly News for Designers № 719

Figma AI Updates to Elevate Your Design Workflow Figma has shared some prototypes for platform updates that integrate AI. This Tuts+ article covers each of them to explore their possibilities.

State of Brand Report 2023 Discover key insights into the trends, challenges and strategies of branding this year.

Internet Artifacts Explore artifacts from the early days of the internet right up until the present day.

Naming Variables In CSS Some collected thoughts from Jonathan Dallas related to naming CSS Custom Properties.

The Negative Impact of Mobile-First Web Design on Desktop Mobile-first web designs cause significant usability issues when viewed on desktop.

Free T-Shirt Mockup Templates for Photoshop These free realistic iPhone mockup templates are perfect for showcasing the UI or UX of your mobile app design or responsive website.

Introducing Learn Performance Course This is new and free course is intended for those that care about web performance, but may be just beginning to get familiar with it.

It’s 2023, Here is Why Your Web Design Sucks Heather Buchel explores the reasons why we no longer have web designers.

State of React 2023

Let’s Reinvent the Wheel

The 2023 Design Tools Survey This survey gathers usage data from thousands of designers each year and many of the design companies you know use this data to better understand and improve the design tools industry.

CSS & JavaScript Snippets for Creating Notification UIs A collection of CSS and JavaScript code snippets for creating unique notification and alert systems and UIs.

Image Layer Animations with Clip-Path Some ideas for speedy page transition animations with layered images using clip-path.

Common Questions About Interpreting Page Speed Reports Take a closer look at how various performance tools audit and report on performance metrics, such as core web vitals.

Geist Font A new and free typeface that has been specifically designed for developers and designers.

Photoshop Action Sets for Cinema & Movie Effects A collection of one-click cinema & movie effect Photoshop action sets that will take your photos to the next level.

[complainblogforthevoid]

I've finally figured out an argument that convinces coding tech-bros that AI art is bad.

Got into a discussion today (actually a discussion, we were both very reasonable and calm even through I felt like committing violence) with a tech-bro-coded lady who claimed that people use AI in coding all the time so she didn't see why it mattered if people used AI in art.

Obviously I repressed the surge of violence because that would accomplish nothing. Plus, this lady is very articulate, the type who makes claims and you sit there thinking no that's wrong it must be but she said it so well you're kind of just waffling going but, no, wait-- so I knew I had to get this right if I was gonna come out of this unscathed.

The usual arguments about it being about the soul of it and creation fell flat, in fact she was adamant that anyone who believed that was in fact looking down at coding as an art form as she insisted it is. Which, sure, you can totally express yourself through coding. There's a lot more nuance as to the differences but clearly I was not going to win this one.

The other people I was with (literally 8 people anti-ai against her, but you can't change the mind of someone who doesn't want to listen and she just kept accusing us of devaluing coding as an art) took over for I kid you not 15 minutes while I tried desperately to come up with a clear and articulate way to explain the difference to her. They tried so many reasonable arguments, coding being for a function ("what, art doesn't serve a function?") coding being many discrete building blocks that you put together differently, and the AI simply provides the blocks and you put it together yourself ("isn't that what prompt building is") that it's bad for the environment ("but not if it's used for capitalism, hm?" "Yeah literally that's how capitalism works it doesn't care about the environment" she didn't like that response)

But I finally got it.

And the answer is: It's not about what you do, it's about what you claim to be.

Imagine that someone asks an AI to write a code and, by some miracle, it works perfectly without them having to tweak it---which is great because they couldn't tell you what a single solitary thing in that code means.

Now imagine this person, with their code that they don't know how it works, goes and applies to be a coder somewhere, presenting this AI code as proof that they're qualified.

Should they be hired?

She was horrified, of course. Of course they shouldn't be. They're not qualified. They can't actually code, and even if by some miracle they did have an AI successfully write a flawless code for every issue they came across that wouldn't be their code, you could hire any shmuck on the street to do that, no reason to pay someone like they're creating something.

When actual engineers use AI what they do is get some kind of base, which they then go though and check for problems and then if they find any they fix them, and add on to the base code with their own knowledge instead of just trying different prompt after prompt until they randomly come across one that works.

People who generate code like this don't usually call themselves engineers. They're people who needed a bit of code and didn't have the knowledge to generate it, and so used a resource.

And there you go. There are people who have none of the skills of artists, they don't practice, they don't create for themselves. When they feed the prompt to the AI they then don't just use the resulting image as a reference point for their own personal masterpiece, and if they don't like it they don't have the skills to change it---they simply try another prompt, and do that until they get something they like.

These people are calling themselves artists.

Not only that, these people are bringing the AI generated thing to interviews, and they are getting hired, leaving people who slave over their craft out of the job.

And that is the difference, for the tech bros who think AI art isn't a big deal.

[brillica-design]

What Are AI Agents? How They Work & How to Use Them Effectively

Welcome to the age of intelligent automation! You’ve probably heard the buzz around AI agents, but what exactly are they, and why should you care? Whether you’re a tech geek, a business leader, or just AI-curious, understanding AI agents is your ticket to staying ahead in a rapidly changing digital world.

Read more — What Are AI Agents? How They Work & How to Use Them Effectively

[mahamid110]

QROQ Review: the most intelligent QR code platform for modern enterprises in 2025🌟

What is QROQ?

QROQ is more than just a QR code congregation. It is a complete QR marketing platform that helps your company grow. You can use your brand to create breathtaking QR codes, track performance in real-time analytics, update them on the left side, and design mobile targets from a simple dashboard. Whether you run a cafe, sell your products online, manage customer campaigns, or work as a freelance, QROQ not only scans your QR codes, but also converts them into powerful marketing tools, but pre-empts your results.

👉Click here to reach QROQ before trading ends

💡Why you need QROQ in 2025

Let's face it - QR codes are everywhere. It can be viewed on receipts, product packaging, posters, business cards, menus, and more. It's now a must to combine offline engagement with online experiences. However, most QR code tools are basic or expensive. There is no flexibility, adaptation, or proper analysis. QROQ fixes all of this - and a few more.

fits to your 's unique logo, brand and style. Real-time scantate frequently gets

Functional QROQ Most Other Tools

Feature Qroq Most Other Tools

One-Time Lifespan Contract ✅JA ❌ Monthly Subscription

Custom Brand QR Code ✅Fully Adapted ⚠ Love dycord Black and White

Dynamic QR Code ✅§ is ⚠ not always supported.

QROQ doesn't just create QR codes. Create an intelligent and interactive brand experience.

👉Click here to reach QROQ before trading ends

Steps in QROQ funnel Here you will find a summary of the content at all levels of the QROQ product line: 10 animated QR codes in total. An average of 20,000 visitors check the website each month. Generates 1,000 QR codes per month. See the QROQ sales page

🚀QROQ Pro is the first OTO. 500 unique QR codes are provided. The website receives approximately 50,000 visitors each month. Unlimited amount of static QR code tablets have been improved for two years. has a single user license ==page for QROQ projects

💼OTO 2: QROQ Reseller Purchase QROQ can be changed to your own product. You can obtain 70 licenses per order.

👉Reseller Data

OTO#3 means PeopleBots Pro. Place an intelligent KI chatbot on your website. Take care of your sales, help desk and customer communications . Switch to Crowdfunnels Page

QROQ is popular with agents and marketers. QROQ allows specialists to offer brand marketing services without having to buy several different tools.

These are especially useful in restaurants, service companies and ECOM businesses. Unique for your company, branding helps your brand be more visible and respected. groups can spend less money and time when using dynamic code. The app has statistics that show which content is best (for me or the audience). will either sell the ads again or use them in customer marketing.

Why comply institutions and marketers love QROQ

QROQ is perfect for professionals who want to provide brand marketing solutions without output to some tools.(that is not) meaning

✅ There is no monthly fee

✅ Immediate profit potential

✅ Lifespan access to, but as soon as the start ends, the pricing is passed to the subscription model.

👉Click here to reach QROQ before trading ends

🎯Final judgment: Is Qroq worth it?

No doubt - Yes.

QROQ checks all the boxes you want from the latest QR platforms: mark design, persecution, processing, and pre-side of mobile state.

Whether you're a small business owner or a marketing agency,

QROQ offers the tools to wear one of the simplest (but still the most powerful) technologies today.

✅Easy to use

✅ roi

👉Click here to reach QROQ before trading ends

[tipsandtricksinfo]

Best Coding Courses for Freelancers to Boost Tech Income

With the current digital first world, freelancing in the tech industry presents a lucrative and flexible career path. As the need for digital solutions increases, companies are always on the lookout for great freelancers who are capable of coding well and coming up with creative projects. To make a mark in this competitive market, and to have a high-tech income, it is important to enroll in the most top coding classes.

A good coding course can not only help you if you are just beginning; it will also help you upskill and manage to get high-paying freelance gigs. Here, in this article, we are looking at the best freelancer coding courses and discussing how coding classes in Chandigarh puts you in a regional perch.

Why Freelancers Should Invest in Coding Courses

Freelancers thrive on versatility and up-to-date skills. As a freelancer, your income is directly linked to your ability to deliver quality work efficiently. By taking a professional coding course, you can:

Learn in-demand programming languages such as Python, JavaScript, and React.

Understand full-stack development and build complete web or mobile applications.

Gain insights into APIs, databases, and backend frameworks.

Deliver more advanced projects, thus commanding higher rates.

Best Coding Courses to Consider

The following there are some of the best coding courses that can take your freelancing career a notch higher:

1. Full-Stack Web Development

This course will give you both front end and back end development. It is perfect for freelancers that would like to provide comprehensive website solutions. You will be taught HTML, CSS, JavaScript, Node.js, Express, MongoDB, etc.

2. Mobile App Development

As the mobile usage continues to increase exponentially, this coding course prepares freelancers for developing Android and iOS applications with Flutter, React-Native, or Kotlin.

3. Python Data Science and AI

Python is still one of the most used programming languages. Python in data science course can help freelancers enter the AI, machine learning, and analytics which are high paying freelance niches.

4. WordPress Development

WordPress development is an easy way into freelancing if you are focusing on small businesses. This course aims at theme customization, plugin development, and e-commerce integration.

5. Front-End Web Development

Specializing in the front-end makes freelancers create responsive and visually pleasing websites. HTML, CSS, JavaScript, as well as frameworks such as Bootstrap and React.js, are generally covered in this course.

How a Course in Chandigarh Can Help

Freelancers based in North India have a unique advantage when they pursue a course in Chandigarh. The city has evolved into a tech and education hub, offering both online and offline learning options. From short-term bootcamps to diploma programs, there’s a broad range of choices available.

There are coding classes in Chandigarh tailored specifically for freelancers. These classes often emphasize project-based learning, mentor support, and career guidance to help learners transition directly into freelance markets like Upwork, Fiverr, and Toptal.

What to Look for in a Coding Course

Before enrolling in any course, keep these factors in mind:

Reputation and Reviews: Opt for institutions with strong student testimonials.

Curriculum Relevance: Ensure it includes the latest tools and technologies.

Hands-on Projects: Practical experience is crucial for freelancers.

Certification: Helps in building trust with freelance clients.

Career Support: Choose a provider that helps with freelancing platforms and client acquisition.

Boosting Income with the Right Skills

The freelancers can easily double or triple their income with adequate training. The tech skills are always in demand, and a client will prefer a freelancer who can provide modern and scalable code that is efficient. A professional coding program does not only develop technical competency but also improves your credibility and confidence.

The freelancers can get an upper hand in the global market by taking appropriate coding courses, in particular, in Chandigarh. There are coding classes in Chandigarh catering towards an international standard to ensure that local learners get to enjoy premium opportunities.

Final Thoughts

Regardless of whether you are a novice freelancer or an expert in your field, a proper coding course investment can lead the way through a number of high-paying projects, as well as opportunities for long-term career success. Build on the high-quality education that is close – there is a course in Chandigarh that could be your platform onto the top of freelance.

Begin learning today and gain control over your freelance tech income with the abilities that the clients all over the world wait for.