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Movie Recommendation System

Project Overview

The Movie Recommendation System is designed to provide personalized movie suggestions based on user preferences, ratings, and genres. It utilizes modern recommendation algorithms and a user-friendly interface for an enhanced movie discovery experience.

Features

  • Personalized movie recommendations
  • User authentication and profile management
  • Movie rating and review system
  • Search and filter functionality
  • Responsive UI/UX design

Tech Stack

Frontend:

  • HTML, CSS, JavaScript – For the user interface
  • React.js (Optional) – If using a modern frontend framework

Backend:

  • Node.js + Express.js OR Python + Flask/Django – For API development
  • MongoDB / PostgreSQL / MySQL – For data storage

Additional Technologies:

  • TMDb API / Custom Movie Dataset – For movie data
  • Machine Learning (Scikit-learn, TensorFlow, or PyTorch) – For recommendation algorithms (if applicable)

Folder Structure

/movie_recommendation
  /src          # Source Code (Frontend & Backend)
  /docs         # Documentation (Requirements, Design, API Docs)
  /tests        # Test Cases & Scripts
  /designs      # UI/UX Wireframes from Figma

Setup & Installation

Prerequisites:

  • Install Node.js & npm (if using Node.js)
  • Install Python 3 & pip (if using Python)
  • Install MongoDB/PostgreSQL/MySQL (if using a database)

Steps:

1. Clone the Repository

git clone https://github.com/yourusername/movie_recommendation.git
cd movie_recommendation

2. Install Dependencies

If using Node.js:

cd src
npm install

If using Python:

cd src
pip install -r requirements.txt

3. Run the Application

For Node.js:

npm start

For Python (Flask/Django):

python app.py  # Flask
python manage.py runserver  # Django

4. Open in Browser

Go to http://localhost:3000/ (or the appropriate port) to access the application.

Contribution

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature-branch)
  3. Commit your changes (git commit -m "Added new feature")
  4. Push to the branch (git push origin feature-branch)
  5. Open a Pull Request

License

This project is licensed under the MIT License.

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