This web application uses a Flask backend to recommend animes based on a dataset. It incorporates a simple user interface for users to input an anime title and receive recommendations.

/Anime_Recommender
    │
    ├── app.py
    ├── check.py
    ├── requirements.txt
    ├── anime_recommender_package
    │     ├── __init__.py
    │     ├── recommender_system.py
    │     └── assets
    │           └── anime.csv
    ├── templates
    │     ├── index.html
    │     └── recommendations.html
    ├── static
    │     └── styles.css
    └── notebooks
        └── m1.ipynb

• app.py: Main Flask application file.
• anime_recommender_package: Python package containing the recommender system logic.
• templates: HTML templates for the web application.
• static: CSS file for styling.
• notebooks: Folder for Jupyter notebooks or analysis files.

# Clone the repository
git clone https://github.com/your-username/your-repo.git

# Navigate to the project folder
cd your_project_folder

# Install the required Python packages
pip install -r requirements.txt

# Run the Flask application
python app.py

Open the application in your web browser at https://localhost:5000.

1. Enter the title of an anime in the input field.
2. Click the Recommend button to get a list of recommended animes.

1. Modify the recommender_system.py file to customize the recommendation logic.
2. Explore and analyze the dataset using Jupyter notebooks in the notebooks folder.