rajatrawal / book-recommender-system-2

Welcome to the "Book Recommender System" project! This collaborative-based filtering model uses cosine similarity to recommend books. It's not just a recommendation system; it's your personalized book guide.

Book Recommender System

Welcome to the "Book Recommender System" project! This collaborative-based filtering model uses cosine similarity to recommend books. It's not just a recommendation system; it's your personalized book guide.

About This Project

The "Book Recommender System" is designed to provide book recommendations based on your reading preferences. It utilizes collaborative filtering and cosine similarity to suggest books that you might enjoy. The model is then deployed as a web app using Flask and hosted on Render for easy access.

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Explore the Project

Features

• Personalized Recommendations: Get book recommendations tailored to your reading preferences.

• Collaborative Filtering: The model considers your reading history and similarities to make effective recommendations.

• User-Friendly Interface: The web app is powered by Flask, offering an intuitive and interactive user experience.

• Deployment: Hosted on Render, providing cloud-based accessibility.

Technologies Used

This project leverages the following technologies:

• Python: The primary programming language for building the recommendation system.

• Cosine Similarity: The algorithm used for making book recommendations.

• Flask: The web framework used to create the user-friendly interface.

• Render: The cloud platform used for deploying the web app.

Installation

To run this project locally, follow these steps:

1. Clone the repository to your local machine using this command:

   git clone https://github.com/rajatrawal/book-recommender-system-2.git

2. Navigate to the project directory:

   cd book-recommender-system-2

3. Install the required Python libraries:

   pip install -r requirements.txt

4. Run the Flask app locally:

   python app.py

5. Open your web browser and go to http://localhost:5000 to access the Book Recommender System.

Usage

To get personalized book recommendations:

• Visit the Live Demo and use the user-friendly interface to discover your next read.

Discover Your Next Book

Explore the "Book Recommender System" and discover your next favorite read. Get personalized recommendations and enhance your reading experience. Visit the Live Demo and enjoy your reading journey!

Contribute

If you'd like to contribute to this project or have suggestions for improvement, please feel free to submit issues or pull requests on GitHub.

Thank you for exploring the "Book Recommender System"! We hope it enhances your reading recommendations.