Air Quality Monitor
concept
AI-powered environmental monitoring using IoT sensors.
goal
Real-time air quality insights through neural networks.
approach
Smart sensors combined with intelligent data analytics.
impact
Improved public health and environmental resource management.
Enhancing public health and environment through AI-powered IoT monitoring solutions.
https://eco-sniffer.seecs.nust.edu.pk/Our
Challenge
Develop an innovative, user-friendly solution that leverages modern design and dynamic multimedia elements to showcase your product's unique strengths. This versatile platform clearly communicates your brand story, engages diverse audiences, and drives market success across all offerings.
- Develop an AI-based system to monitor air quality and forecast pollution levels.
- Measure key pollutants like CO, NO2, and PM using IoT sensors.
- Provide real-time tracking and a seven-day air quality forecast.
Solution &
Result
Our solutions leverage advanced AI, IoT, and analytics technologies to deliver measurable improvements across critical business areas. With a commitment to practical innovation and user-friendly design, each product ensures enhanced performance, adaptability, and sustainability.
Key impacts and benefits include:
AI-powered pollutant detection using neural networks
Real-time environmental tracking with IoT sensors
Color-coded heatmaps for easy visualization
Predictive air quality forecasting for policy-making