#Machine learning and AI Projects

[its-vishnu-stuff]

Machine learning and AI Analytics Services - Innodatatics

AI analytics and machine learning services provide businesses with cutting-edge ways to leverage data. These services examine enormous volumes of data, identifying patterns, trends, and insights that inform strategic decision-making through the use of complex algorithms and computational approaches. Machine learning and artificial intelligence (AI) services improve operational efficiency, optimize customer experiences, and stimulate innovation by automating complex operations and enabling predictive analytics. These services, which range from risk management and fraud detection to customized marketing and consumer segmentation, enable businesses to remain competitive in an increasingly data-driven world.

[archivlibrarianist]

"Bots on the internet are nothing new, but a sea change has occurred over the past year. For the past 25 years, anyone running a web server knew that the bulk of traffic was one sort of bot or another. There was googlebot, which was quite polite, and everyone learned to feed it - otherwise no one would ever find the delicious treats we were trying to give away. There were lots of search engine crawlers working to develop this or that service. You'd get 'script kiddies' trying thousands of prepackaged exploits. A server secured and patched by a reasonably competent technologist would have no difficulty ignoring these.

"...The surge of AI bots has hit Open Access sites particularly hard, as their mission conflicts with the need to block bots. Consider that Internet Archive can no longer save snapshots of one of the best open-access publishers, MIT Press, because of cloudflare blocking. Who know how many books will be lost this way?  Or consider that the bots took down OAPEN, the worlds most important repository of Scholarly OA books, for a day or two. That's 34,000 books that AI 'checked out' for two days. Or recent outages at Project Gutenberg, which serves 2 million dynamic pages and a half million downloads per day. That's hundreds of thousands of downloads blocked! The link checker at doab-check.ebookfoundation.org (a project I worked on for OAPEN) is now showing 1,534 books that are unreachable due to 'too many requests.' That's 1,534 books that AI has stolen from us! And it's getting worse.

"...The thing that gets me REALLY mad is how unnecessary this carnage is. Project Gutenberg makes all its content available with one click on a file in its feeds directory. OAPEN makes all its books available via an API. There's no need to make a million requests to get this stuff!! Who (or what) is programming these idiot scraping bots? Have they never heard of a sitemap??? Are they summer interns using ChatGPT to write all their code? Who gave them infinite memory, CPUs and bandwidth to run these monstrosities? (Don't answer.)

"We are headed for a world in which all good information is locked up behind secure registration barriers and paywalls, and it won't be to make money, it will be for survival. Captchas will only be solvable by advanced AIs and only the wealthy will be able to use internet libraries."

[jaguarsoup]

Plotting something (sewing project I won’t finish)

||DO NOT FEED TO AI DO NOT USE FOR MACHINE LEARNING||

[thefreethoughtprojectcom]

The Maven Smart System (MSS) uses AI and machine learning to detect enemy systems. While financial terms remain undisclosed, it's likely one of Palantir’s biggest military contracts of 2025.

Read More: https://thefreethoughtproject.com/military-industrial-complex/palantir-partners-with-the-department-of-defense-on-controversial-ai-project-maven

#TheFreeThoughtProject

[uditprajapati7685]

Pickl.AI offers a comprehensive approach to data science education through real-world case studies and practical projects. By working on industry-specific challenges, learners gain exposure to how data analysis, machine learning, and artificial intelligence are applied to solve business problems. The hands-on learning approach helps build technical expertise while developing critical thinking and problem-solving abilities. Pickl.AI’s programs are designed to prepare individuals for successful careers in the evolving data-driven job market, providing both theoretical knowledge and valuable project experience.

[beeapothecary]

AI Pollen Project Update 1

Hi everyone! I have a bunch of ongoing projects in honey and other things so I figured I should start documenting them here to help myself and anyone who might be interested. Most of these aren’t for a grade, but just because I’m interested or want to improve something.

One of the projects I’m working on is a machine learning model to help with pollen identification under visual methods. There’s very few people who are specialized to identify the origins of pollens in honey, which is pretty important for research! And the people who do it are super busy because it’s very time consuming. This is meant to be a tool and an aid so they can devote more time to the more important parts of the research, such as hunting down geographical origins, rather than the mundane parts like counting individual pollen and trying to group all the species in a sample.

The model will have 3 goals to aid these researchers:

Count overall pollen and individual species of pollen in a sample of honey

Provide the species of each pollen in a sample

Group pollen species together with a confidence listed per sample

Super luckily there’s pretty large pollen databases out there with different types of imaging techniques being used (SEM, electron microscopy, 40X magnification, etc). I’m kind of stumped on which python AI library to use, right now I’ve settled on using OpenCV to make and train the model, but I don’t know if there’s a better option for what I’m trying to do. If anyone has suggestions please let me know

This project will be open source and completely free once I’m done, and I also intend on making it so more confirmed pollen species samples with confirmed geographical origins can be added by researchers easily. I am a firm believer that ML is a tool that’s supposed to make the mundane parts easier so we have time to do what brings us joy, which is why Im working on this project!

I’m pretty busy with school, so I’ll make the next update once I have more progress! :)

Also a little note: genetic tests are more often used for honey samples since it is more accessible despite being more expensive, but this is still an important part of the research. Genetic testing also leaves a lot to be desired, like not being able to tell the exact species of the pollen which can help pinpoint geographical location or adulteration.

[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.

[d0nutzgg]

Life Updates: buildspace, an Idea, and some Concepts

Hey everyone, thanks for all the support on my prior posts having to do with machine learning! I know I didn't mention this really but recently I was accepted into S4 of buildspace which is like a "school" for creatives. I am doing Nights & Weekends but it has been a lot of fun since I started! We just did our first project which was creating the idea we will be working on throughout this "season" of buildspace. This was mine:

I know you all can tell I am really passionate about helping others with the research I do with machine learning / AI. I am wanting to make it into a nonprofit type business while I am in buildspace for s4.

I have some Proof of Concepts already which you can check out on my Kaggle here:

However, I am working on another project today that uses Logistic Regression and XGBoost models stacked together to predict heart failure mortality. I plan on doing a full walk through of the project to help show investors and buildspace what my goal is for my business.

What are your ideas on this? Do you think I should go for it? What are your dreams if you are a software engineer yourself? I want to hear from you all!

[its-vishnu-stuff]

Machine learning and AI Analytics Services In Hyderabad  - Innodatatics

With the assistance of our state-of-the-art AI analytics and machine learning services, unleash the potential of your data. Our skilled staff utilizes cutting-edge algorithms and methodologies to provide actionable intelligence tailored to your specific needs, whether you're seeking insightful information, optimizing procedures, or streamlining operations. We leverage the power of sophisticated analytics, from computer vision and natural language processing to anomaly detection and predictive modeling, to support informed decision-making and innovation within your company. With our extensive range of services, you'll be able to capitalize on new growth prospects and maximize efficiency in today's data-driven environment.

[netra-n8tra]

openBIM® by Sonetra KETH

openBIM® is a collaborative approach and an ecosystem of open standards, protocols, and workflows that enable interoperability across different BIM software platforms, stakeholders, and disciplines in the Architecture, Engineering, and Construction (AEC) industry.

openBIM® represents an industry-wide movement towards interoperability and open standards that facilitate collaborative, data-rich BIM workflows across diverse software platforms and stakeholders, ultimately fostering a more integrated, flexible, and sustainable built environment ecosystem.

Core Principles of openBIM®

Interoperability: Seamless exchange of BIM data without proprietary restrictions.

Open Standards: Relying on internationally recognized, non-proprietary standards to facilitate data consistency and collaboration.

Open Data Exchange: Promoting a data-centric approach where model information can be shared, interpreted, and used across various tools.

Collaborative Ecosystem: Enabling multiple stakeholders using different applications to work collectively on a project.

Key Components of openBIM®

Standards and Protocols

Industry Foundation Classes (IFC): The core openBIM schema developed by buildingSMART® for rich, schema-based exchange of geometric and semantic data.

bSDD (buildingSMART Data Dictionary): A comprehensive repository of standardized data definitions to ensure semantic consistency.

CityGML, IFC-SPF: Additional standards for GIS, infrastructure, and other data formats.

IFC, BCF (BIM Collaboration Format): For model data exchange and issue tracking.

Tools and Software

Various BIM applications supporting openBIM standards, enabling import/export, viewing, validation, and collaboration while maintaining data integrity.

The interoperability is made possible through software certifications and compatibility testing, often coordinated by buildingSMART®.

Workflow & Data Management

Emphasizes a model-centric approach, where the central repository is an IFC model that can be accessed, modified, and referenced by multiple applications.

Promotes open data exchange rather than proprietary formats, reducing vendor lock-in and fostering innovation.

Advantages of openBIM®

Vendor Neutrality: No single vendor controls the data exchange standards.

Flexibility & Compatibility: Enables collaboration across various platforms (Revit, ArchiCAD, Vectorworks, Tekla, etc.).

Long-term Data Sustainability: Ensures that project data remains usable and understandable over time.

Enhanced Collaboration: Stakeholders can work concurrently, review, issue comments, and coordinate effectively.

RMIT University Vietnam (2015)

buildingSMART International Technical Director Léon van Berlo who discusses the openBIM workflow

Sonetra KETH (កេត សុនេត្រា) •Architectural Manager, Project Manager, BIM Director •建築師經理, 專案經理, BIM總監 •Giám đốc kiến ​​trúc, Giám đốc dựán, Giám đốc BIM •RMIT University Vietnam + Institute of Technology of Cambodia

[craftingtableus]

Home Automation Electronics Kit

Discover the fascinating world of smart home technology with this interactive learning kit, designed to spark curiosity in young minds. Combining the versatile ESP32 board with engaging story-based activities, this kit immerses children in the exciting world of home automation. Packed with a variety of sensor modules and programming tools, it allows young learners to build, experiment, and protect a smart home while honing essential STEM skills. Perfect for nurturing creativity and problem-solving abilities, this hands-on kit offers a fun and accessible introduction to the future of technology. Ready to dive in? Click the link to learn more and make your purchase!

[andranikfakirian]

Project "ML.Satellite": Image Parser

In order to speed up the "manufacturing" of the training dataset as much as possible, extreme automation is necessary. Hence, the next step was to create a semi-automatic satellite multispectral Image Parser.

Firstly, it should carve the smaller pieces from the big picture and adjust them linearly, providing radiometrical rescaling, since spectrometer produces somewhat distorted results compared to the actual radiance of the Earth's surface. These "pieces" will comprise the dataset. It was proposed to "manufacture" about 400 such "pieces" in a 500 by 500 "pixels" format.

P.S.: Below are example images of the procedure described above. (Novaya Zemlya Archipelago)

Secondly, it should calculate some remote sensing indexes. For this task, a list of empirical indexes was taken: NDVI, NDWI, MNDWI, NDSI, ANDWI (alternatively calculated NDWI), WRI and NDTI. Only several of them were useful for the project purposes.

P.S.2: The following are example images of the indexing procedure.

Lastly, it should compute the "labels" for the "pieces" describing a schematic map of the territory on image splitting this territory into several types according to the calculated indexes. To simplify segmentation, in our project, a territory can consist only of the following types: Clouds, Water (seas, oceans, rivers, lakes…), Vegetation (forests, jungles…), Snow and Land (this class includes everything else). And, of course, Parser should save the processed dataset and labels.

P.S.3: Below are sample image of a colored "piece" and a simple map based on the label assigned to this "piece". Map may seem a drop inaccurate and it's not surprising, since as far as I know, indexes are empirical and by definition cannot be precise. As a result, if it is possible to create a sufficiently accurate model that predicts analytical classification, then it may be possible to create a model that classifies optical images better than analytics.

[lostconsultants]

Embracing AI-Driven Estimations for a Smarter Future

Embracing AI-driven estimations for a smarter future is no longer a distant vision—it is a necessary step in modern project management. In previous discussions, we explored the foundation of AI-driven estimations in Rethinking Estimations in the Age of AI and how AI is actively revolutionising estimation practices in Revolutionising Estimations with AI: Smarter, Faster, and More Reliable…

[technology-123s-blog]

Start Your Machine Learning Projects Journey with Takeoff Projects

Machine learning is a growing field that has changed how businesses work and make decisions. At Takeoff Projects, we provide students and professionals with exciting opportunities to explore Machine Learning Projects that solve real-world problems. These projects are designed to help you learn by doing, making complex concepts easy to understand. Whether you are a beginner or an experienced coder, our projects are tailored to match your skill level.

One popular project involves building a spam email detector. This project teaches you how to use algorithms to classify emails as spam or not based on their content. You’ll work with datasets, clean the data, and train a machine learning model to improve its accuracy. Another favorite project is creating a movie recommendation system, like the ones used by streaming platforms. This project introduces collaborative filtering and how to personalize user experiences by predicting what they’ll like.

For students interested in finance, we offer projects like stock price prediction, which involves analysing historical data to forecast market trends. You’ll learn how to use Python libraries like Pandas and Scikit-learn to process data and build predictive models. Another exciting project is image recognition, where you train a model to identify objects or faces in pictures. This project gives you hands-on experience with neural networks and deep learning techniques.

At Takeoff Projects, we also focus on healthcare solutions, such as predicting diseases based on patient data or developing systems to monitor a patient’s health. These projects help you understand how machine learning can save lives and improve medical services.

[its-vishnu-stuff]

Machine learning and AI Analytics Services - Innodatatics

Organizations can gain crucial insights, make data-driven decisions, and optimize processes across various industries through the utilization of machine learning and AI analytics services. These services sift through vast volumes of data using sophisticated algorithms and analytical techniques to uncover patterns, trends, and connections that might otherwise remain unnoticed.