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A collaborative filtering-based book recommendation system with a user-friendly Flask-based web interface

Home Page: https://python-book-recommender-cec227bac164.herokuapp.com/

License: MIT License

Jupyter Notebook 94.99% Procfile 0.02% Python 1.60% HTML 3.39%
flask heroku python recommender-system

book-recommender-system's Introduction

Book Recommender System

Screenshot 2023-09-13 at 11 11 33 pm

This is a collaborative filtering-based book recommender system that suggests books to users based on their preferences and the preferences of similar users. The system is hosted on Heroku and has a user-friendly web interface developed with Flask.

Features

  • Collaborative Filtering: The recommender system employs collaborative filtering techniques to provide personalized book recommendations to users.
  • User Profiles: Users can create profiles and provide their reading preferences and history.
  • Recommendations: Based on the user's profile and behaviour, the system generates a list of book recommendations.
  • Search: Users can search for specific books and get information about them.
  • Responsive Design: The web interface is designed to work seamlessly on desktop and mobile devices.

How to Use

  1. Sign Up/Login: Users can create accounts or log in with existing ones.

  2. Profile Creation: After logging in, users can set up their reading preferences, add books to their reading history, and rate books they've read.

  3. Get Recommendations: The system will generate personalized book recommendations based on the user's profile and behaviour.

  4. Search for Books: Users can also search for specific books and view details about them.

Deployment

The Book Recommender System is deployed on Heroku. You can access the live application at https://python-book-recommender-cec227bac164.herokuapp.com/

Technologies Used

  • Python: The backend is written in Python using Flask.
  • Collaborative Filtering: The recommendation engine is built using collaborative filtering algorithms.
  • Heroku: The application is hosted on Heroku's cloud platform.

Installation

If you want to run this application locally:

  1. Clone this repository:

    git clone https://github.com/avikshit-banerjee/Book-recommender-system.git
    
    

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these guidelines:

  • Fork the repository.
  • Create a new branch for our feature or bug fix.
  • Make your changes and submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.


This book recommender system was developed by Avikshit Banerjee.

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