SMART CLEAN ROOM MONITORING SYSTEM WITH AI-DRIVEN PREDICTIVE ANALYTICS

An open-source AI system that uses real-time IoT and explainable edge intelligence to prevent risks, cut false alarms, and optimize energy sustainably.

Repository Demo
Team Members
MEGANTHAN VL
MEGANTHAN VL
meganthan_vl
 MANIMOZHI R
MANIMOZHI R
manimozhi_r
 ILAMPARITHI M
ILAMPARITHI M
ilamparithi_m
 MOHANAVEL P
MOHANAVEL P
mohanavel_p
Description

Our project is an AI-powered smart environmental monitoring system designed for cleanrooms to enhance patient safety and operational efficiency. The system integrates real-time IoT sensors to continuously monitor critical environmental parameters such as temperature, humidity and pressure. Using edge-enabled AI analytics, it detects anomalies early, predicts potential risks, and provides confidence-based alerts to reduce false alarms and clinician fatigue.

A centralized, secure dashboard offers transparent visualization, risk estimation, and decision support for user. Additionally, the system incorporates intelligent energy optimization to reduce HVAC overuse and power consumption, supporting sustainable and green healthcare infrastructure. By combining real-time monitoring, predictive intelligence, and energy efficiency, the solution transforms traditional surveillance into a reliable, explainable, and eco-friendly smart monitoring platform.

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