IoT and Deep Learning-Based VOC Monitoring System for Indoor Air Quality and Safety
Original price was: ₹12,500.₹9,500Current price is: ₹9,500.
This project develops an advanced volatile organic compound (VOC) monitoring system to ensure safe and healthy indoor environments. By integrating IoT technology, the system provides real-time measurement of VOC concentrations and transmits data to a cloud platform for seamless remote access and historical analysis.
Deep learning algorithms analyze VOC trends, predict potential air quality hazards, and detect anomalies in VOC levels. The system issues instant alerts when harmful concentrations are detected, enabling timely interventions. A mobile app enhances user experience by offering live monitoring, personalized recommendations for air quality improvement, and comprehensive reports for indoor safety management.
Key Features:
- Real-time VOC detection and monitoring with IoT-enabled remote access.
- Deep learning-powered analysis for trend prediction and anomaly detection.
- Cloud-based storage for long-term data visualization and compliance reporting.
- Mobile app with live updates, safety alerts, and actionable air quality insights.
This project includes source code, complete hardware setup, detailed analysis, and a 200-page project report in soft copy, making it a valuable solution for students exploring IoT and AI applications in environmental health and safety.
