📚 Smart Book Recommendation System using Python and Flask – Free Web Project

Book Recommendation System

📌 About the Project

The Book Recommendation System is a free, open-source web application that helps users find book suggestions using data-driven logic. Built using Python (Flask), it implements both popularity-based and collaborative filtering methods to recommend books intelligently.

This project is ideal for:

• 🎓 Students working on data science or machine learning projects
• 💻 Beginners exploring recommendation systems
• 📘 Developers creating portfolio projects

💡 Project Summary

We worked with a dataset containing three core files:

• Books.csv – Book info (title, author, year, etc.)
• Users.csv – User info (location, age)
• Ratings.csv – Book ratings by users

The recommendation system is built in four major steps:

🔹 1. Data Cleaning & Feature Engineering

• Removed missing or irrelevant values
• Extracted meaningful features for analysis

🔹 2. Popularity-Based Recommendations

• Merged book and ratings data on ISBN
• Displayed top 50 books with the highest average ratings
• Filtered books with more than 250 ratings for better reliability

🔹 3. Collaborative Filtering

• Used memory-based filtering
• Filtered active users (rated 200+ books) and popular books (rated by 50+ users)
• Applied cosine similarity for item-item matching
• Generated recommendations using similarity scores

🔹 4. Book Recommendation Function

• Accepts a book name as input
• Returns 4 similar books along with authors using a trained model

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⚙️ Technology Stack

• Language: Python
• Framework: Flask
• Front-End: HTML, CSS
• Libraries: Pandas, NumPy, Scikit-learn
• Model Storage: Pickle (.pkl) files
• Notebook for Development: Jupyter

✅ Available Features

• 🔝 Shows top-rated books based on rating count and average score
• 🧠 Recommends similar books based on item similarity
• 🔄 Uses collaborative filtering for personalized suggestions
• 💾 Lightweight – no external database required
• 📦 Includes a full development notebook and web interface