https://github.com/abdullahashfaq-ds/book-recommendation-system

A personalized book recommendation system that combines collaborative filtering and popularity-based methods, featuring an interactive HTML/CSS frontend and a Flask backend.
https://github.com/abdullahashfaq-ds/book-recommendation-system

collaborative-filtering css3 data-science flask html5 machine-learning popularity-prediction python recommender-system tailwindcss

Last synced: 15 days ago
JSON representation

A personalized book recommendation system that combines collaborative filtering and popularity-based methods, featuring an interactive HTML/CSS frontend and a Flask backend.

• Host: GitHub
• URL: https://github.com/abdullahashfaq-ds/book-recommendation-system
• Owner: abdullahashfaq-ds
• License: mit
• Created: 2024-01-23T16:40:42.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-09-19T14:59:45.000Z (5 months ago)
• Last Synced: 2024-11-17T10:19:41.796Z (3 months ago)
• Topics: collaborative-filtering, css3, data-science, flask, html5, machine-learning, popularity-prediction, python, recommender-system, tailwindcss
• Language: Jupyter Notebook
• Homepage:
• Size: 17.4 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# 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.

![Index Page](/assets/page_01.png)

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

![Recommendations Page](/assets/page_02.png)

## Installation and Setup

Follow these steps to set up and run the application:

1. **Clone the Repository**

    ```bash

    git clone [email protected]:abdullahashfaq-ds/Book-Recommendation-System.git

    cd Book-Recommendation-System

    ```

2. **Create and Activate a Virtual Environment**

    For Linux/Mac:

    ```bash

    python -m venv venv

    source venv/bin/activate

    ```

    For Windows:

    ```bash

    python -m venv venv

    venv\Scripts\activate

    ```

3. **Install Dependencies**

    ```bash

    pip install -r requirements.txt

    ```

4. **Run the Flask Application**

    ```bash

    python app.py

    ```

## License

This project is licensed under the [MIT License](LICENSE). See the LICENSE file for more details.