BookBuddy
Book tracker with AI-powered recommendations using Google Books and Gemini.
Full-stack book recommendation platform with an AI chat assistant that gives personalized suggestions based on your actual reading history. Live at bookbuddy.jasper-ai.tech.
Key features:
- Personal book library with three lists: Favorites, Read, and Want to Read
- AI chatbot (“BookBuddy”) powered by Gemini 2.0 Flash — injects the user’s full reading profile into each request for personalized recommendations
- Genre-based recommendations: analyzes your favorites to find your top genre and fetches suggestions via Google Books API
- Review system with 1–5 star ratings, sortable by rating or date
- “Most Favorited” aggregation across all users on the homepage
- Book search with pagination, language filter, and sort options
Architecture: Flask REST API with SQLAlchemy + SQLite backend (book lists stored as JSON columns), React 18 frontend with React Query for caching and React Router v6. Test suite covers routes, Gemini API, reviews, and search.
Tech stack: Python, Flask, SQLAlchemy, React, Tailwind CSS, React Query, Google Books API, Google Gemini 2.0 Flash