CryoTrace AI is a smart cold-chain monitoring platform designed to help track and manage temperature-sensitive shipments in real time.
Built during a hackathon, the platform focuses on improving visibility, safety, and efficiency in refrigerated logistics and storage systems.
- Real-time shipment temperature monitoring
- Interactive dashboard UI
- Temperature analytics and visualization
- AI-powered risk prediction system
- Shipment tracking interface
- Alert system for abnormal temperature conditions
- Responsive modern frontend
Temperature-sensitive shipments such as medicines, vaccines, and frozen food require constant monitoring during transportation.
Traditional tracking systems often fail to provide:
- real-time visibility,
- predictive risk analysis,
- and intelligent alerts.
CryoTrace AI aims to solve this by combining monitoring systems with AI-driven insights.
- React
- Tailwind CSS
- FastAPI / Node.js
- Chart.js / Recharts
- Gemini API / Machine Learning models
Example:
- Dashboard
- Temperature graphs
- Shipment tracking UI
- Alert notifications
This project was collaboratively developed during a hackathon.
My contributions included:
- UI/UX design
- frontend development
- AI integration
- dashboard implementation
Clone the repository:
git clone <your-repo-link>Install dependencies:
npm installRun frontend:
npm run devRun backend:
python app.py- Live IoT sensor integration
- Advanced AI prediction models
- Mobile app support
- Cloud deployment
- Route optimization system
Currently under active development and improvement.