AI Based Air Quality Monitoring System
AI-Driven Real-Time Air Quality Intelligence for Smarter Environmental Monitoring.
Vision
An intelligent, scalable air-quality monitoring ecosystem using hybrid sensing, AI analytics, and real-time intelligence to enable proactive environmental management, healthier communities, and sustainable urban development.
Problem
Conventional air quality monitoring systems lack real-time intelligent analytics, limiting rapid pollution assessment and decision-making, thereby affecting public health, industrial safety, environmental monitoring agencies, and urban sustainability initiatives.
Solution
AQ-AIMS integrates hybrid sensors, AI-driven pattern recognition, and cloud-based analytics to deliver real-time pollutant tracking, intelligent air quality assessment, and continuous Air Quality Index monitoring.
Potential
AQ-AIMS can enable large-scale deployment across industries, smart cities, mines, and public spaces, benefiting millions through continuous environmental surveillance, early pollution alerts, and data-driven air quality management.
Target Beneficiaries
Beneficiaries include smart cities, industries, mining sectors, environmental agencies, healthcare organizations, research institutions, and urban populations across India and globally requiring intelligent real-time air quality monitoring.
Current Users
AQ-AIMS is currently deployed with the Goa State Pollution Control Board and has successfully undergone field testing in the Jharia Coalfield for environmental monitoring applications.
