FitSync

Welcome to the FitSync! This project is a Streamlit-based web application that predicts a user's lifestyle based on input data.

🏗 Features

• User-friendly interface powered by Streamlit
• Accepts user input for lifestyle prediction
• Provides insights based on data analysis
• Deployable on Streamlit Cloud

🚀 Live Demo

Check out the live application here: FitSync

📂 Project Structure

📦 FitSync
├── 📜 app.py       # Main application file
├── 📜 requirements.txt  # Dependencies
└── 📜 README.md   # Project documentation

🛠 Installation

To run the project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/iamnitishsah/FitSync.git
   cd FitSync

2. Install dependencies:

   pip install -r requirements.txt

3. Run the Streamlit app:

   streamlit run app.py

📌 Requirements

Ensure you have Python installed. The required dependencies are listed in requirements.txt.

🤝 Contribution

Feel free to fork the repository and submit pull requests with improvements or feature enhancements.

📜 License

This project is open-source and available under the MIT License.

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Made with ❤️ by [Nitish Sah]