{"id":21032086,"url":"https://github.com/lavkalsi/movieratingpredictor","last_synced_at":"2026-04-11T03:06:03.441Z","repository":{"id":246800257,"uuid":"818339957","full_name":"LavKalsi/MovieRatingPredictor","owner":"LavKalsi","description":"Movie Rating Predictor is a React web app that predicts movie ratings (from 0 to 10) based on details like duration, actors' names, and director's name. It uses a Python machine learning model for predictions, with Flask facilitating communication between the backend and frontend. 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Flask is used for communication between the Python backend and the React app.\n\n## Table of Contents\n\n- [Introduction](#introduction)\n- [Features](#features)\n- [Installation](#installation)\n- [Usage](#usage)\n- [How It Works](#how-it-works)\n- [Backend Details](#backend-details)\n- [Contributing](#contributing)\n- [License](#license)\n- [Contact](#contact)\n\n## Introduction\n\nMovie Rating Predictor is a web application built with React for the frontend and a Python machine learning model for the backend. It predicts the rating of a movie (from 0 to 10) based on details such as duration, actors' names, and director's name.\n\n## Features\n\n- **User-friendly Interface:** Simple interface to input movie details and predict ratings.\n- **Real-time Predictions:** Quickly processes input to provide movie rating predictions.\n- **Machine Learning:** Utilizes a trained machine learning model for accurate predictions.\n\n## Installation\n\n### Prerequisites\n\n- Node.js\n- Python 3.x\n- pip (Python package installer)\n\n### Frontend Setup\n\n1. Clone the repository:\n    ```sh\n    git clone https://github.com/LavKalsi/MovieRatingPredictor.git\n    cd MovieRatingPredictor\n    ```\n\n2. Navigate to the `frontend` directory and install dependencies:\n    ```sh\n    cd frontend\n    npm install\n    ```\n\n3. Start the React application:\n    ```sh\n    npm start\n    ```\n\n### Backend Setup\n\n1. Create and activate a virtual environment (optional but recommended):\n    ```sh\n    python -m venv venv\n    source venv/bin/activate  # On Windows, use `venv\\Scripts\\activate`\n    ```\n\n2. Install the required Python packages:\n    ```sh\n    pip install -r res/requirements.txt\n    ```\n\n3. Run the backend server:\n    ```sh\n    python res/Server.py\n    ```\n\n## Usage\n\n1. Ensure both the frontend and backend servers are running.\n2. Open your browser and navigate to `http://localhost:3000`.\n3. Enter the movie details (such as duration, actors' names, and director's name).\n4. Click the \"Predict\" button to receive the rating prediction.\n\n## How It Works\n\nThe Movie Rating Predictor web app allows users to predict the rating of a movie. Here's how you can use it:\n\n1. **Input Details:** Users can input movie details such as duration, actors' names, and director's name into the provided fields on the web app.\n2. **Submit for Prediction:** After entering the details, users click the \"Predict\" button to submit the information for analysis.\n3. **Backend Processing:** The frontend sends the movie details to the backend Python server, where the machine learning model processes them.\n4. **Receive Results:** The backend returns the prediction result (movie rating from 0 to 10) to the frontend, which is then displayed to the user.\n\n## Backend Details\n\nThe backend is a Python Flask application that serves a machine learning model trained to predict movie ratings. The backend files, including the model and Flask app, are located in the `res` folder.\n\n### Files in `res` Folder\n\n- `Server.py`: The Flask application that handles HTTP requests from the frontend.\n- `model.jb`: The trained machine learning model.\n- `requirements.txt`: The dependencies required for the Python backend.\n\n## Contributing\n\nContributions are welcome! Please open an issue or submit a pull request if you have any improvements or suggestions.\n\n1. Fork the repository.\n2. Create your feature branch (`git checkout -b feature/your-feature`).\n3. Commit your changes (`git commit -am 'Add your feature'`).\n4. Push to the branch (`git push origin feature/your-feature`).\n5. Open a pull request.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Contact\n\nLavKalsi - [GitHub](https://github.com/LavKalsi)\n\nFeel free to contact me if you have any questions or suggestions!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flavkalsi%2Fmovieratingpredictor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flavkalsi%2Fmovieratingpredictor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flavkalsi%2Fmovieratingpredictor/lists"}