Awesome-AI-Data-Guided-Projects

Why we included this project

Learning machine learning is easier when you have a project to build, and this list exists to point you at good ones. It collects guided, step-by-step write-ups and notebooks for the kinds of work that show up in portfolios: LLM chatbots built with LangChain, fine-tuning models like Llama 2 and Mistral, and time series forecasting with Prophet and XGBoost. Every entry links to a tutorial, video, or Colab notebook, so you can follow along instead of starting from a blank page. The curation does the legwork: rather than digging through scattered blog posts and YouTube videos, you get one organized index grouped by skill area. It is a planning reference, not software you run, and it suits early-career developers who want portfolio projects that reflect how AI work is actually done today.