Game Recommendation System

A machine learning-based game recommendation system that suggests similar games based on user preferences and game characteristics. The system uses collaborative filtering and content-based filtering to provide personalized game recommendations.

Features

• Search for games by title
• Browse popular games
• Get personalized game recommendations
• View game similarity scores
• See game details including ratings and user reviews
• Visual representation of game similarities

Installation & Setup

1. Clone the repository:

git clone https://github.com/vsiva763-git/gamerec.git
cd gamerec

2. Create a virtual environment and activate it:

# On Windows
python -m venv venv
venv\Scripts\activate

# On Linux/Mac
python -m venv venv
source venv/bin/activate

3. Install the required packages:

pip install -r requirements.txt

4. Run the application:

streamlit run app.py

5. Open your web browser and go to:

http://localhost:8501

Usage

1. Search by Game Title:

   • Select "Game Title" from the sidebar
   • Type a game name in the search box
   • Choose from the suggestions
   • Click "Get Recommendations"

2. Browse Popular Games:

   • Select "Browse Popular Games" from the sidebar
   • Browse through the list of popular games
   • Click "Get Similar Games" for any game you're interested in

Required Data Files

Make sure you have the following files in your project directory:

• app.py: The main application file
• video_game_data(1).csv: The dataset file containing game information

Dependencies

The main dependencies are:

• streamlit
• pandas
• numpy
• scikit-learn
• matplotlib
• requests

For the complete list of dependencies, see requirements.txt

Screenshots

Contributing

Feel free to open issues and pull requests!

License

This project is licensed under the MIT License - see the LICENSE file for details.