IoT and ML-Based Ozone Monitoring System for Air Quality and Health Safety
Original price was: ₹12,500.₹8,999Current price is: ₹8,999.
This project designs a smart ozone monitoring system to assess air quality and ensure health safety. Using an advanced ozone sensor, the system detects ozone concentrations and integrates with an IoT platform for real-time data collection, remote monitoring, and cloud storage. It is ideal for applications in environmental monitoring, industrial safety, and urban health management.
Machine learning algorithms analyze ozone levels to detect anomalies, predict air quality trends, and provide actionable insights. The system issues alerts for ozone levels exceeding safe thresholds, enabling timely intervention. A mobile app facilitates live ozone monitoring, historical data visualization, and personalized notifications, empowering users to maintain a safe and healthy environment.
Key Features:
- Accurate detection of ozone levels with IoT-enabled real-time monitoring.
- ML-powered anomaly detection and air quality trend predictions.
- Cloud-based storage for long-term data analysis and insights.
- Mobile app for live updates, alerts, and historical ozone 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 solution for students focusing on IoT and ML applications in air quality and health safety.
