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IoT and ML-Based Hydrogen Sulfide (H2S) Monitoring System for Environmental and Industrial Safety

Original price was: ₹19,800.Current price is: ₹11,999.

This project designs a smart H2S monitoring system that utilizes a calibrated hydrogen sulfide sensor to detect and measure gas concentrations in real time. The system integrates with an IoT platform for remote monitoring, cloud storage, and real-time alerts, making it ideal for applications in environmental monitoring, industrial safety, and wastewater management.

Machine learning algorithms analyze gas concentration trends, predict hazardous conditions, and detect anomalies. When H2S levels exceed safe thresholds, the system triggers instant alerts to enable timely interventions and ensure safety. A mobile app allows live monitoring, historical data analysis, and personalized notifications, ensuring comprehensive gas management and safety protocols.

Key Features:

  • Accurate detection and monitoring of hydrogen sulfide gas concentrations.
  • IoT-enabled real-time data access and cloud-based storage.
  • ML-powered trend prediction and anomaly detection for proactive safety.
  • Mobile app for live tracking, alerts, and historical data visualization.

This project includes source code, complete hardware setup, detailed analysis, and a 200-page project report in soft copy, making it an excellent choice for students focused on IoT and ML in environmental and industrial safety solutions.

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