Smart IoT and Deep Learning-Based CO₂ Monitoring System for Environmental Health
Original price was: ₹12,500.₹9,500Current price is: ₹9,500.
This project designs an intelligent CO₂ monitoring system to enhance environmental health and safety in residential, industrial, and public spaces. By leveraging IoT technology, the system continuously measures CO₂ levels and transmits data to a cloud platform for real-time monitoring and historical analysis.
Deep learning algorithms analyze CO₂ trends, predict potential risks, and identify anomalies such as rapid increases in carbon dioxide concentration. The system provides early warnings via instant alerts, enabling timely actions to improve air quality. A user-friendly mobile app offers live CO₂ level tracking, trend visualization, and actionable recommendations to maintain safe and healthy environments.
Key Features:
- Real-time CO₂ monitoring with IoT-enabled data transmission and cloud integration.
- Deep learning-powered trend analysis, risk prediction, and anomaly detection.
- Cloud storage for long-term data analysis and regulatory compliance.
- Mobile app with live updates, alerts, and personalized 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 monitoring.
