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Review Assignment Due Date

🚀 AeroGuard

Team: MonoCore

Your proactive AI Health Companion that turns invisible pollution data into actionable safety decisions.


👥 Team Details

Name           Role       Email              
Mohd Aafi Team Lead mdaafi04@gmail.com

🎯 Problem Statement

Standard weather apps are passive; they show high AQI numbers but offer no guidance on how to navigate them safely.

  • Context: Users see "AQI 200" but don't know if they should run, commute, or stay indoors.
  • Impact: Commuters, athletes, and sensitive groups unknowingly expose themselves to toxic hotspots.
  • Gap: Official sensors are sparse, often missing hyper-local hazards like garbage fires or construction dust.

💡 Solution

AeroGuard replaces passive dashboards with an Agentic AI that thinks, plans, sees, and protects.

  1. Agentic Intelligence: A Gemini-powered agent that autonomously fetches live data to answer queries like "Is it safe to run?" with specific advice.

  2. Green Routing: An innovative navigation engine that calculates and suggests "Cleaner Air Routes" alongside the standard fastest path.

  3. Citizen Sentinel: A community-driven layer where users report hazards (e.g., smoke), verified instantly by Gemini Vision to update the map for everyone.

  4. Visual Perception: A real-time pollution heatmap overlay that makes invisible toxins visible on the map for better awareness.

  5. Gamification: Inmplented a points system for every clean route and correctly marked hazard to user.


🛠 Tech Stack

Category             Technologies Used                                        
Frontend/Mobile Flutter (Dart), Google Maps SDK                          
AI & Logic       Google Gemini API (Flash Model + Vision capabilities)    
Data & APIs     Google Directions, WAQI API, Shared Preferences          
Infrastructure   Google Cloud Platform (GCP)                              
Backend   Firebase                            

📊 MVP Features

  • AI Safety Agent: Context-aware chat interface providing health bullet points based on live location.
  • Green Routing: Visual comparison of "Fastest" (Blue) vs "Cleaner" (Green) travel paths.
  • Citizen Sentinel: Crowdsourced hazard reporting (e.g., fires) verified by AI Vision with persistent markers.
  • Pollution Heatmap: Live tile overlay visualizing AQI intensity across the city.
  • Smart UX: Dynamic card resizing, typewriter text effects, and automatic context switching.

🔗 Links & Demo

Testing Credentials

  • No login required. The app uses device location and API keys automatically.

🏆 Acknowledgements

This project was developed during TechSprint Hackathon 2026, organized by GDG on Campus Galgotias University.

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  • Dart 47.1%
  • C++ 26.7%
  • CMake 20.4%
  • Swift 2.9%
  • C 1.5%
  • HTML 1.3%
  • Other 0.1%