This repository serves as a curated gallery showcasing a diverse collection of Artificial Intelligence projects, including Machine Learning, Deep Learning, and Generative AI. It is intended for individuals learning advanced AI techniques and concepts, offering a broad overview of practical applications across various domains. The primary benefit is providing a consolidated reference point for AI project ideas and implementations.

How It Works

The gallery functions as a catalog of completed AI projects, categorized by domain such as classification, regression, generative AI, computer vision, and natural language processing. Each entry lists the project name, its domain, and whether it represents an end-to-end implementation. The approach highlights practical application of AI concepts rather than a single unified system.

Quick Start & Requirements

This repository is a collection of project descriptions and does not provide a unified installation or execution guide. Specific requirements, setup instructions, and estimated footprints would depend on individual projects, which are not detailed here. Links to official quick-start guides or demos are not present.

Highlighted Details

• Covers a wide spectrum of AI domains: Classification, Regression, Generative AI, Computer Vision, NLP, Recommendation Systems, and Data Analysis (MS Power BI).
• Features projects demonstrating end-to-end implementations, indicating a focus on practical, complete solutions.
• Includes examples of modern AI applications like chatbots using Gemini Pro and OpenAI, and Doc-Genius.

Maintenance & Community

Information regarding notable contributors, community channels (e.g., Discord, Slack), roadmap, or specific maintenance status is not provided in the README.

Licensing & Compatibility

The README does not specify a software license. Therefore, its terms for use, modification, and distribution, especially for commercial purposes, are unclear.

Limitations & Caveats

The primary limitation is that this repository acts as a project gallery rather than a collection of runnable code. Individual project repositories are largely absent, preventing direct code access or immediate experimentation. The "End-to-End" status is indicated but not substantiated with runnable examples.