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Live AQI
location_cityDelhi, India
245
Air Quality is
Severe
PM10 :285µg/m³
PM2.5 :168µg/m³
Good
050
Moderate
100
Poor
200
Unhealthy
300
Severe
400
Hazardous
500+
mapExplore the Live Map
partly_cloudy_day

18°C

Partly Cloudy

Feels like 17°C

arrow_forward
humidity_percentage

Humidity

65%

air

Wind

8 km/h

wb_sunny

UV Index

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AQI Forecast

Predictions for the next 24 hours at AICTE Delhi. Conditions are expected to remain in the 'Moderate' range, with slight improvements overnight.

Now

152

Poor

6 hours

158

Poor

12 hours

135

Poor

24 hours

121

Poor

Network Overview

Real-time statistics from the PranaMesh monitoring network across Delhi-NCR

sensorsTotal Monitoring Nodes
1,320

Delhi + Noida + Ghaziabad + Gurugram + Faridabad + Sonipat

location_onFixed Sensors Installed
480

Placed via GIS-based suitability model across NCR

directions_busMobile Sensors on Vehicles
840

DTC buses, cluster buses, municipal garbage trucks, water tankers

filter_altHybrid Filter Units Installed
298

At schools, bus stops, metro gates, parks

warningHigh-Pollution Hotspots Detected
162

Last 48 hours across NCR

airAverage AQI Today
287Very Poor
speedSensor Network Uptime
92.4%
layersActive GIS Layers
22

elevation, traffic, industrial zones, land-use, NDVI, population, wind, thermal imagery, etc.

add_location_altOptimal New Sensor Sites Suggested
73
shieldPublic Locations Protected by Hybrid Filters
94
factory

Pollution Overview

196µg/m³
315µg/m³
39count of locations
11count of locations
deployed_code

Deployment Overview

Fixed Sensors
Mobile Routes
Hybrid Filters
Priority Sites

Key Capabilities

PranaMesh provides a comprehensive suite of tools to monitor and analyze air quality data in real-time.

map

Live Geospatial Mapping

Visualizing AQI data across locations in real-time.

traffic

Traffic Correlation

Analyzing the impact of traffic patterns on air quality.

history

Historical Data Analysis

Understanding air quality trends and patterns over time.

About The Project

PranaMesh is a state-of-the-art air quality monitoring solution developed by Team Optivis for the Smart India Hackathon 2025. Our mission is to provide accurate, real-time data and insightful analytics to empower citizens, researchers, and policymakers in the Delhi-NCR region to make informed decisions for a healthier environment.