Initializing_

"Real-time pollution monitoring and forecasting for Delhi-NCR"
Smart India Hackathon 2025 (PS-25216) MVP - Real-time AQI monitoring dashboard with ML-powered forecasting. Features 10 monitoring stations, interactive maps with color-coded pollution levels, source identification (vehicular, industrial, agricultural), and 24-hour predictive modeling. Responsive dashboard with health advisory recommendations.
Impact
Empowering citizens with real-time air quality data and predictions
Role
Full-Stack Developer (Team Vidyut)
Status
Ongoing Development
Delhi-NCR faces severe air pollution, with AQI levels frequently crossing hazardous thresholds. Citizens lack accessible, real-time information about air quality in their specific areas, making it difficult to make informed health decisions.
Built a comprehensive AQI monitoring dashboard that visualizes real-time air quality data from 10 monitoring stations across Delhi-NCR. The system uses ML-powered forecasting to predict pollution levels 24 hours in advance.
Frontend built with Next.js 14 and TypeScript for type safety. Recharts powers the data visualizations, while Mapbox provides interactive mapping. OpenWeatherMap API delivers real-time air quality data.
Empowering Delhi-NCR residents with actionable air quality information, enabling them to plan outdoor activities and protect their health.
**Problem Statement**: PS-25216 - Real-time Air Quality Monitoring for Delhi-NCR
**Team**: Team Vidyut (Team ID: 58456)
**Status**: Ongoing development with plans for public deployment