IoT and Deep Learning CO₂ Monitoring System for Indoor Air Quality Management
Original price was: ₹12,500.₹9,500Current price is: ₹9,500.
This project develops an advanced indoor air quality management system, focusing on monitoring and analyzing CO₂ levels in real time. Using IoT technology, the system collects data from indoor environments and transmits it to a cloud platform for seamless remote access and storage.
Deep learning algorithms enhance the system by predicting CO₂ trends, identifying anomalies, and providing actionable insights to optimize air quality. Alerts are generated when CO₂ levels exceed safe thresholds, enabling immediate corrective actions. A mobile app provides live air quality updates, historical trend analysis, and personalized recommendations for maintaining a healthy indoor environment.
Key Features:
- Real-time CO₂ monitoring with IoT-enabled connectivity.
- Deep learning-powered trend prediction, anomaly detection, and actionable insights.
- Cloud-based data storage for long-term analysis and compliance reporting.
- Mobile app with live updates, alerts, and air quality improvement recommendations.
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 and health technologies.
