LAST DATE for submission: July 15, 2025

Problem Statements

Focused Areas & Problem Statements

Problem: Air pollution (O3, SO2, NO2) causes 9% wheat and 3% rice yield losses annually in India.

Challenge Statement:

Develop AI-GIS models to predict pollution impact on crops and optimize farming strategies.
Design precision agriculture tools using real-time air quality and meteorological data.
Develop geospatial pollution monitoring for targeted fertilizer application and pollutant-resistant crops.

Problem: Indian cities lack high-resolution, predictive air quality mapping systems.

Challenge Statement:

Develop an AI-powered geospatial model for real-time air quality monitoring.
Build a smart city dashboard that integrates satellite and sensor-based pollution data.
Use drone-based remote sensing for monitoring urban pollution sources.

Problem: Traffic congestion and vehicular emissions are major contributors to urban air pollution.

Challenge Statement:

Use geospatial AI models for urban mobility planning.
Optimize pedestrian and cycling infrastructure based on real-time pollution and traffic data.
Integrate LiDAR and satellite imagery to design green corridors for clean mobility.

Problem: Industries contribute heavily to NO2, SO2, and PM2.5 emissions, but real-time emission monitoring is weak.

Challenge Statement:

Problem: PM2.5 exposure causes 1.67 million deaths annually, with urban areas exceeding WHO air quality limits.

Challenge Statement:

Develop AI-driven health risk prediction models based on pollution exposure data.
Build geospatial health risk alert systems for real-time personalized notifications.
Integrate wearable sensor data with geospatial insights to monitor respiratory health.

Problem: Air pollution reduces tourism, with polluted areas seeing a 93.4% drop in return visits.

Challenge Statement:

Develop a GIS-based travel route planner that prioritizes low-pollution paths.
Create an AI-powered eco-tourism mapping tool to promote clean-air destinations.
Identify real-time pollution hotspots for better travel planning.

Problem: 75% of urban India exceeds WHO air quality standards, affecting real estate values and public health.

Challenge Statement:

Problem: Public participation in air quality monitoring is low, and citizens lack tools for real-time pollution tracking.

Challenge Statement:

Build a citizen-led air quality monitoring app using geospatial and sensor data.
Use crowdsourced mobile sensor data for localized pollution mapping.
Develop a real-time public alert system for high-risk areas

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