LitAura is a mood-based book recommender web app that suggests books according to your emotions. Built using HTML, CSS, JavaScript, and Botpress integration, it provides an interactive chatbot that helps users discover the right book based on their current mood.
Semantic book recommendation system leveraging vector embeddings (sentence-transformers), approximate nearest neighbor search (FAISS), and generative AI (Google Gemini/Vertex AI) for personalized analysis and content generation, wrapped in an interactive Gradio web UI.
Welcome to my Book-Recommender-System!
This is a website that I built to showcase all of my books I currently have!
Book Recommender Chatbot is a rule-based web app built with Python and Flask. It uses popularity and collaborative filtering to recommend books based on user preferences, offering personalized suggestions via a chat interface.
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