RacquetSense is an intelligent chatbot designed to provide personalized insights, advice, and tennis-related knowledge in a natural coversation-like manner. I built it to merge my interests in technology and sports, creating a tool that helps players, coaches, and fans explore everything from training strategies to player stats in an interactive way. 

I developed RacquetSense using a Django backend and React frontend, integrating a retrieval-augmented generation (RAG) system to deliver intelligent responses from tennis data. The backend manages user queries, database retrieval, and AI responses, while the frontend focuses on a clean, responsive chat interface.