https://github.com/ajay-karmakar/mov-rec

Get recommended a movie
https://github.com/ajay-karmakar/mov-rec

flet python3 scikit-learn

Last synced: about 15 hours ago
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Get recommended a movie

• Host: GitHub
• URL: https://github.com/ajay-karmakar/mov-rec
• Owner: ajay-karmakar
• License: gpl-3.0
• Created: 2024-11-16T17:15:50.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-16T17:32:54.000Z (2 months ago)
• Last Synced: 2024-12-02T12:14:48.228Z (about 2 months ago)
• Topics: flet, python3, scikit-learn
• Language: Python
• Homepage:
• Size: 2.8 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# mov-rec

A Python-based movie recommendation tool built using **Flet**, a UI framework based on **Flutter**, along with **Pandas** for fast data handling.

The app fetches movie data from a `.csv` file, processes it using Pandas, and filters the results based on user input. It then uses the **Nearest Neighbors algorithm** from **Scikit-learn** to optimize the filtering process, providing faster and more accurate movie recommendations.

## Features

- Built with [Flet](https://flet.dev/), a framework based on Flutter for creating modern, interactive user interfaces in Python.

- **Fast Data Processing**: Uses **Pandas** to efficiently read, process, and filter the movie data from a `.csv` file, ensuring the app can handle large datasets and provide quick updates.

- **Real-time Recommendations**: The tool updates movie recommendations instantly as the user selects different genres or languages.

- **Nearest Neighbors Filtering**: Uses the **Nearest Neighbors algorithm** from **Scikit-learn** to optimize movie recommendations by finding the most similar movies based on user input (e.g., genre, language).

## Screenshots

Here are some screenshots of the application in action:

### main-interface

![main-interface](assets/main-interface.png)

### genre-selection

![genre-selection](assets/genre-selection.png)

### result-text

![result-text](assets/result-screen.png)

## Prerequisites

Make sure you have the following installed:

- Python 3.11.x or higher

- pip (Python package installer)

## Installation

1. Clone the repository or download the project files.

    ```bash

    git clone https://github.com/ajay-karmakar/mov-rec.git

    cd mov-rec

    ```

2. Install the required dependencies by running:

    ```bash

    pip install -r requirements.txt

    ```

3. Ensure you have the `.csv` file in the same directory as the script, or update the file path in the code.

## Usage

1. Run the Python application using the following command:

    ```bash

    python main.py

    ```

## File Descriptions

- **`.csv`**: This file contains the movie data used by the tool. It includes columns such as `id`, `title`, `genres`, `original_language` and other relevant movie details.

  

- **`requirements.txt`**: Contains a list of Python dependencies required to run the application.

- **`main.py`**: Main Python script that implements the application logic.