Game Recommendation System

Are you tired of spending hours searching for the perfect game to play? Worry no more! Our Game Recommendation System is here to revolutionize your gaming experience. 🚀

This intelligent system analyzes multiple factors—such as your name, favorite genres, game categories, and developers—to provide highly personalized recommendations. Say goodbye to guesswork and hello to tailor-made gaming suggestions! 🎯

🚀 Features

• Personalized Game Recommendations 🕹️
• User-Friendly Interface 💡
• Dynamic Search and Filtering 🔍

🛠️ Technologies Used

Frontend

• HTML, CSS, JavaScript - For the interactive UI 🎨

Backend

• Flask (Python) - To handle requests and responses 🐍
• Pandas & NumPy - For data processing 📊
• Machine Learning Model - To generate recommendations 🤖

Database

• CSV-based Dataset - Contains game metadata 📂

🎯 How It Works

1. User enters game preferences via the form.
2. Data is processed, and the ML model generates relevant game recommendations.
3. Results are displayed dynamically with stylish hover effects and transitions.
4. Users can like/favorite games and explore further details.

🏗️ Setup & Installation

1. Clone the repository

   git clone https://github.com/AyushDineshRathi/Game-Recommendation.git

2. Navigate to the project directory

   cd Game-Recommendation

3. Install dependencies

   pip install -r requirements.txt

4. Run the Jupyter Notebook (games.ipynb)

   • Open the notebook in Jupyter:

     jupyter notebook games.ipynb

   • This will automatically load all the required .joblib files.
   • Run all the cells in sequence to execute the program.

5. Run the application

   python app.py

6. Open the browser and visit http://127.0.0.1:5000

📢 Contributing

Pull requests are welcome! If you’d like to contribute, feel free to fork the repository and submit a PR.

🔗 Connect with Me

GitHub | LinkedIn

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💙 Made with passion for gamers! 🎮🔥