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🚀 VitalTrack AI

VitalTrack AI is a powerful API-driven platform designed to help manage, analyze, and track vital health data efficiently. It provides developers and researchers with a robust backend to integrate health monitoring, analytics, and intelligent insights into their applications.


🌐 Live API Documentation

You can explore and test all available APIs using Swagger:

👉 https://vitaltrack-ai.onrender.com/swagger/index.html


✨ Features

  • 📊 Health Data Tracking – Manage and monitor vital health metrics
  • 🤖 AI-Powered Insights – Intelligent analysis for better decision-making
  • 🔗 RESTful APIs – Easy integration with any frontend or service
  • 📄 Interactive Swagger UI – Test endpoints directly from your browser
  • Scalable Backend – Built to handle real-world workloads

🛠️ Getting Started

1. Access the Frontend

Use the web interface here:

https://vitaltrack-ai-frontend.onrender.com

2. Access the API

No installation required to explore the APIs. Simply open:

https://vitaltrack-ai.onrender.com/swagger/index.html

3. Authenticate (if required)

  • Use the provided authentication endpoints in Swagger
  • Add your token to authorized requests

4. Try Endpoints

  • Browse available routes
  • Click on any endpoint
  • Use "Try it out" to send requests instantly

📚 API Overview

The API includes endpoints for:

  • User management
  • Health data input and retrieval
  • Analytics and insights generation
  • System monitoring

(Refer to Swagger UI for full details and request/response schemas.)


💡 Use Cases

  • Health tracking apps
  • Fitness platforms
  • Medical research tools
  • AI-driven wellness dashboards

⚙️ Tech Stack

  • Backend: Go
  • Frontend: Angular
  • API Docs: Swagger (OpenAPI)
  • Hosting: Render

🤝 Contributing

Contributions are welcome! Feel free to:

  • Open issues
  • Suggest features
  • Submit pull requests

📬 Contact

For queries or support, please reach out to support.vitatrack@gmail.com


⭐ Support

If you find this project useful, consider giving it a ⭐ to support development!


About

AI-powered digital Health Journal that extracts insights from medical reports using AWS AI services (Textract + Bedrock). Built with Angular, Go, PostgreSQL, and scalable cloud architecture.

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