Personalized Book Recommendation System

This project offers a personalized book recommendation system using collaborative filtering and popularity-based methods. It features a user-friendly web interface built with HTML and Tailwind CSS, powered by a Flask backend.

Key Features

• Collaborative Filtering: Recommends books based on user interactions by identifying users with similar preferences.
• Popularity-Based Filtering: Suggests books that are widely recognized and favored by the community.
• User-Friendly Frontend: Designed with HTML and Tailwind CSS to provide an intuitive and engaging user experience.
• Flask Backend: Manages server operations and integrates with machine learning models.

Web Interface

Home Page: A display of the most recommended books across all the users.

Get Recommendations Page: A search interface showing book recommendations based on user queries.

Installation and Setup

Follow these steps to set up and run the application:

1. Clone the Repository

   git clone git@github.com:abdullahashfaq-ds/Book-Recommendation-System.git
   cd Book-Recommendation-System

2. Create and Activate a Virtual Environment

   For Linux/Mac:

   python -m venv venv
   source venv/bin/activate

   For Windows:

   python -m venv venv
   venv\Scripts\activate

3. Install Dependencies

   pip install -r requirements.txt

4. Run the Flask Application

   python app.py

License

This project is licensed under the MIT License. See the LICENSE file for more details.