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3rdplace3rd Prize – Team 16

AI-Based Smart Monitoring System with Self-Healing through Fault Isolation and Load Control

This project develops an intelligent real-time monitoring and fault detection system using sensors, machine learning, and digital twin technology. It continuously analyzes parameters like temperature, vibration, and voltage, compares them with normal operating conditions, and detects abnormalities using KNN and Edge Impulse models. Based on detected faults, the system triggers alerts and load control through relays, while a web dashboard provides live system status and performance monitoring.

Inside the build

🥉 3rd Prize – Team 16

Project: AI-Based Smart Monitoring System with Self-Healing through Fault Isolation and Load Control

TEAM MEMBERS:

  • Ananya M Murthy
  • Deeksha Ramappa Gani
  • Shriya S
  • Varsha TM

Creativity: This project develops an intelligent real-time monitoring and fault detection system using sensors, machine learning, and digital twin technology. It continuously analyzes parameters like temperature, vibration, and voltage, compares them with normal operating conditions, and detects abnormalities using KNN and Edge Impulse models. Based on detected faults, the system triggers alerts and load control through relays, while a web dashboard provides live system status and performance monitoring.

Presentation & Documentation: Download file

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