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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