📘 Book Recommender Chatbot

🔍 Overview

A rule-based chatbot that provides book recommendations using Popularity-Based and Collaborative Filtering techniques. Built with Python (Flask) for backend and HTML/CSS/JavaScript for frontend.

💡 Features

• Recommends books based on user interests or popular titles
• Uses Collaborative Filtering and Popularity-Based Filtering
• Rule-based chatbot for basic conversation
• Google Books API for fetching book info
• Real-time web interface built using Flask

🧰 Tech Stack

• Backend: Python, Flask, NumPy, Pandas, Pickle
• Frontend: HTML, CSS, JavaScript
• APIs: Google Books API
• Tools: PyCharm

💻 Key Functions

• recommend(): Returns similar books using cosine similarity
• GenerateRecommendation(): Random top-book recommendations
• responses(): Rule-based conversation logic
• sanitizeText(): Cleans user input

📦 Data

• Book Recommendation Dataset from Kaggle (Books, Users, Ratings)

🌐 Deployment

• Localhost with Flask, open-source project for learning-based use