KalyanM45/AI-Project-Gallery
This Repository Contain All the Artificial Intelligence Projects such as Machine Learning, Deep Learning and Generative AI that I have done while understanding Advanced Techniques & Concepts.
What is it?
AI Project Gallery is a public index page that lists the author's machine-learning and AI projects. It is not a single application — it's a table of contents with links to 33 separate GitHub repositories, each containing one project.
How the main list is organized
The README presents a table with four columns:
| Column | What it shows |
|---|---|
| Project Name | The project's title (e.g., Airbnb Price Prediction, Article Scraper) |
| Domain | The area of AI/ML it belongs to (e.g., Classification, Regression, Generative AI, Web Scraping) |
| Repository | A clickable badge linking to the project's GitHub repo |
| End-to-End | A checkmark (✔) appears for some projects — the README's header simply says "End-to-End". It is reasonable to read this as marking projects that are complete, runnable pipelines, but the README itself does not describe what the column means in more detail. |
Domains covered
The 33 projects span roughly ten domains:
- Classification (e.g., Airbnb price, diabetes, wine quality)
- Regression (price and performance prediction)
- Generative AI (chatbots, text generation, document tools)
- Web Scraping (articles, images)
- Computer Vision (hand tracking)
- MS Power BI (data analysis dashboards)
- Recommendation Systems (movies)
- Agentic Workflows / Agentic AI (market insight, travel planning)
- Data Analytics (GitHub tracking)
Which projects are marked as end-to-end
Out of the 33 listed, 11 carry the checkmark: Airbnb Price Prediction, Boston House Price Prediction, Respire (chest disease), Diamond Price Prediction, Flight Fare Prediction, Heart Disease Prediction, Movie Recommendation System, Spam E-Mail Detection, Student Performance Prediction, Market Insight, Doclify, Multi Agentic Blog Generation, GitHub Tracker, Travel Planning Agent.
*(Counting the check marks in the README: row 1, 3, 6, 8, 12, 15, 20, 23, 24, 28, 30, 31, 32, 33 — that's 14, not 11. Let me recount carefully from the table:)
Row 01 — ✔ Row 03 — ✔ Row 06 — ✔ Row 08 — ✔ Row 12 — ✔ Row 15 — ✔ Row 20 — ✔ Row 23 — ✔ Row 24 — ✔ Row 28 — ✔ Row 30 — ✔ Row 31 — ✔ Row 32 — ✔ Row 33 — ✔
That gives 14 projects marked with a checkmark. The other 19 have no checkmark, so they're present but not flagged as end-to-end.
Upcoming projects
The README adds a second, smaller table titled "Many more projects will be uploaded soon!". It lists 10 future projects, each with a project name, a domain, and a "Coming Soon" badge instead of a repository link — for example Deep Fake Detection (Deep Learning), Driver Drowsiness Detection (Computer Vision), Diet Recommendation (Recommendation System), and others.
Notable details
- The page ends with an invitation to follow the author on GitHub for more end-to-end projects.
- The README does not explain how each project works, what the code does internally, or how to run any of them — it is purely a visual index.
- All project names and domains are taken directly from the README's own table; no additional claims are made here about the content of the linked repositories.
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