This project is an IoT system performance monitoring and analytics solution designed to track and analyze system metrics in real-time. It provides users with actionable insights into system performance, enabling real-time monitoring, historical trend analysis, and predictive analytics.
- Problem: Existing IoT tools often lack real-time updates, comprehensive analytics, and effective data visualization.
- Need: A user-friendly solution for monitoring and analyzing IoT system performance in real-time.
- Real-time Metrics: Uses MQTT to stream live system metrics to the dashboard.
- Data Storage: Stores data in a PostgreSQL database and visualizes trends over time.
- Predictive Analytics: Implements algorithms to forecast future performance issues.
- Real-time System Metrics Monitoring
- Historical Data Storage and Trend Visualization
- Predictive Analytics for Proactive Issue Resolution
- Languages: TypeScript, Python
- Frameworks: React
- Database: PostgreSQL
- Tools: MQTT
