Wardrobe Recommendation Website


Skills: Python, JavaScript, HTML, C++, FastAPI

Built a website where a user can check the weather in their location and get wardrobe recommendations from an LLM based on the weather and the user’s wardrobe. The user can also create an account, add, remove, and edit wardrobe items, add real-time temperature and pressure sensors, and view a real-time graph of environmental data. Front-end coded with HTML and JavaScript, back-end coded with Python. Microcontroller code written in C++. Built with Docker.

Check out the demo.