awesome-project-ideas

This repository is a curated list of project ideas for people learning or practicing machine learning and deep learning. It is not a library or a tool, it is a collection of prompts describing what you could build, along with pointers to public datasets you could use to build it. The list covers more than 30 ideas ranging from beginner-friendly tasks to research-level problems.

The ideas are organized into several categories. The text and natural language section includes things like automatically tagging forum questions, detecting abusive comments, answering questions from a document, summarizing long articles, and detecting whether two questions mean the same thing. Each entry names a relevant public dataset you can download and train on.

A forecasting section covers predicting time series data such as rainfall, air quality, electricity demand, and blood donation likelihood. A recommendation systems section includes building a movie recommender using ratings data or a book recommender. A vision section covers tasks like identifying plant diseases from photos, detecting objects in satellite imagery, and recognizing lip movements from video.

A hackathon ideas section, added more recently, focuses on projects that make use of large language models, such as a command-line tool that takes plain-English instructions and converts them to shell commands, knowledge base question answering, text-to-SQL, guided summarization, and text-to-music generation. These entries mention specific open-source tools and models that could serve as starting points.

The README also includes a short music and audio section covering tasks like genre classification and automatic playlist generation. No code is included in the repository itself; the value is in the idea descriptions and dataset links.