This repository provides a curated list of practical machine learning and deep learning project ideas, categorized by domain such as NLP, forecasting, recommendation systems, vision, and audio. It targets students, researchers, and developers looking for inspiration for hackathons, academic theses, or industry projects, offering a wide range of complexity from beginner-friendly to research-level challenges.

How It Works

The project acts as a categorized index of project concepts, each with a brief description and often suggesting relevant datasets or underlying techniques. It leverages recent advancements in AI, particularly Large Language Models (LLMs) for tasks like text-to-command generation and semantic search, and diffusion models for image editing and style transfer. The organization aims to provide a structured starting point for exploring diverse AI applications.

Quick Start & Requirements

• No installation required; this is a curated list of ideas.
• Project implementation will require standard ML/DL libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers, Librosa, OpenCV) and potentially specific hardware (GPUs) depending on the chosen project.
• Links to relevant datasets and research papers are often provided within the descriptions.

Highlighted Details

• Extensive coverage of LLM applications, including text-to-command, conversational AI, and guided summarization.
• Detailed sections on computer vision tasks like image classification, segmentation, captioning, and video understanding.
• Ideas for time series forecasting, recommender systems, and music/audio analysis.
• Includes specific dataset suggestions and links to relevant research or tools for many ideas.

Maintenance & Community

• The project is maintained by NirantK.
• Contributions are welcomed via pull requests.
• Users can report issues on GitHub.
• The author can be found on Twitter.

Licensing & Compatibility

• Licensed under the MIT License.
• Permissive for commercial use and integration into closed-source projects.

Limitations & Caveats

This repository is a list of ideas and does not provide code implementations. The feasibility and complexity of each project will vary significantly, and users will need to conduct further research and development to bring these ideas to fruition. Some project ideas may require access to large datasets or significant computational resources.