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https://github.com/diwansinghchauhan/book-recommender-system
https://github.com/diwansinghchauhan/book-recommender-system
Last synced: 2 days ago
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- Host: GitHub
- URL: https://github.com/diwansinghchauhan/book-recommender-system
- Owner: diwansinghchauhan
- Created: 2024-06-09T17:22:39.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-06-21T06:26:30.000Z (7 months ago)
- Last Synced: 2024-11-11T08:17:37.277Z (2 months ago)
- Language: Jupyter Notebook
- Size: 15.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Book Recommender System
This project is a Book Recommender System built using Python. It uses collaborative filtering and popularity-based filtering techniques to provide personalized book recommendations. The system is deployed on Render, making it easily accessible via a web interface. Users can explore and discover books based on their preferences and past ratings.
## Screenshots![Book Recommender System - Google Chrome 10-06-2024 03_14_14](https://github.com/diwansinghchauhan/Book-recommender-System/assets/147912878/ffbec4d5-8ea7-4750-adc0-7310aa80e134)
![Book Recommender System - Google Chrome 10-06-2024 03_14_35](https://github.com/diwansinghchauhan/Book-recommender-System/assets/147912878/a7a736b9-83c7-4d89-bfad-773e2461ae5b)
![book-recommender-system – app py 10-06-2024 03_15_44](https://github.com/diwansinghchauhan/Book-recommender-System/assets/147912878/a8de0ade-c184-4237-a84d-24db98ff5209)
## Features
- Displays a list of the top 50 books with cover images, authors, vote counts, and ratings.
- Allows users to input a book title and receive personalized recommendations.
- Shows detailed information for each book, including title, author, and rating.
- Simple and intuitive web interface for easy navigation and interaction.
- Accessible online with reliable performance and scalability.
## Requirements- Python
- render
## AcknowledgementsSpecial thanks to render for providing an amazing platform for building interactive web applications with ease.
## Deployment
To deploy this project run
```bash
https://book-recommender-system-r64t.onrender.com
```## Authors
- [Diwan Singh Chauhan](https://github.com/diwansinghchauhan/Laptop-Price-Predictor-Using-Linear-Regression)
## Reference
Campusx Youtube