Repo link - https://github.com/garvit-arora/National_Hackathon_Project/

🏃‍♂️ Real-Time Personalized Health Advisory System

🌟 Overview

The Real-Time Personalized Health Advisory System is a cutting-edge solution that transforms real-time health data into actionable insights. By leveraging Pathway's real-time data processing framework and RAG pipelines, the system provides personalized, dynamic recommendations through an interactive dashboard.

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🚀 Features

• Real-Time Data Processing:

  • Ingests and processes data from wearables, fitness apps, and external APIs.
  • Handles metrics like heart rate, steps, SpO₂, sleep hours, and more.

• Personalized Recommendations:

  • Context-aware suggestions generated using Retrieval-Augmented Generation (RAG).
  • Dynamic insights that adapt based on real-time data.

• Interactive Dashboard:

  • Built with Streamlit, providing a seamless user experience.
  • Visualizes live metrics and recommendations with intuitive charts and graphs.

• Extensible Design:

  • Easily integrates new data sources and APIs.
  • Scalable to handle large datasets and user bases.

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🛠️ Tech Stack

• Programming Language: Python
• Frameworks:
  • Streamlit for the user interface.
  • Pathway for real-time data processing.
• APIs:
  • Simulated data for wearables.
  • OpenWeatherMap and Edamam for weather and nutrition data.
• Libraries: Pandas, Matplotlib for data handling and visualization.

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⚙️ How to Run

1. Clone the repository:

   git clone https://github.com/yourusername/real-time-health-advisor.git

2. Navigate to the project directory

   cd real-time-health-advisor

3.Install the required dependencies: bash pip install -r requirements.txt 4. Run the application: bash streamlit run app.py

📈 Deliverables

• Prototype: Real-time dashboard with live data ingestion and dynamic recommendations.
• Documentation: Detailed codebase explanation with setup instructions.
• Demo Video: A walkthrough of the system showcasing all features.

🔮 Future Scope

• Live Device Integration: Support for IoT-enabled wearables and fitness trackers.
• Predictive Analytics: AI-driven insights to forecast health trends and prevent risks.
• Corporate Wellness: Customizable solutions for workplace health management.
• Localization: Region-specific health advice for global users.

📢 Authors

Developed by Algo Wizards Created as part of National Hackathon, 2025.

📜 License

This project is licensed under the MIT License. ```bash

This Markdown README is detailed, professional, and ready for GitHub. Just copy-paste it into a README.md file! ```