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IoT and ML-Based Carbon Monoxide Monitoring and Safety System

Original price was: ₹7,500.Current price is: ₹4,500.

This project introduces an advanced carbon monoxide (CO) monitoring and safety system designed for enhanced indoor and industrial safety. Leveraging the Waveshare MQ-7 Gas Sensor, the system detects CO concentrations in real time and transmits data to a cloud platform for remote monitoring. IoT integration ensures seamless connectivity, while machine learning algorithms analyze data trends to predict dangerous CO levels and alert users to potential risks.

This system is particularly beneficial for industrial workers, building managers, and homeowners concerned with maintaining safe air quality standards. By offering real-time alerts and actionable insights, it helps prevent CO poisoning and ensures a safe environment.

A mobile app accompanies the system, providing live CO level updates, historical data, and safety recommendations.

Key Features:

  • Real-time CO concentration monitoring with IoT connectivity.
  • ML-powered predictive analysis and alert generation for hazardous CO levels.
  • Cloud-based data storage for long-term air quality tracking and reporting.
  • Mobile app with live updates, safety alerts, and 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 exploring IoT and AI applications in environmental safety.