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🌍 EcoGuard AI: Real-Time Pollution Monitoring & Intervention System

“Turning passive data into life-saving action”
🧠 AI-Powered | 🛰️ IoT & Drones | ⛓️ Blockchain Transparency | 🌱 Built for the Planet


📌 Overview

EcoGuard AI is an open-source, real-time environmental protection system that doesn’t just monitor — it acts.
By combining AI predictions, IoT sensors, autonomous drones, and blockchain logging, EcoGuard detects pollution before it spikes and responds instantly to protect both ecosystems and human lives.

🔁 Unlike traditional tools that passively monitor, EcoGuard AI’s mission is:
Predict → Respond → Protect


🚨 The Problem

  • 🧬 ~7 million premature deaths/year from pollution (WHO)
  • 💸 $5 trillion in global welfare losses (World Bank)

Most systems today raise alerts only after damage is done.
EcoGuard AI flips the model — from reaction to prevention.


🌟 Key Features

Feature Description
🧠 AI Forecasting Predict PM2.5, CO2, and water contamination spikes 12–24 hours in advance
🌐 IoT Sensors Low-cost, solar-powered Raspberry Pi setups with air and water quality sensors
🚁 Drone Swarms Autonomous drones that absorb oil and disperse eco-safe neutralizers
⛓️ Blockchain Logging Immutable emission logs stored on Polygon + IPFS
📱 AR Mobile App Citizens scan and report pollution to earn eco-tokens
Edge + 5G Computing Real-time analytics for ultra-low latency response

🛠️ Tech Stack

AI & ML

  • Scikit-learn, XGBoost, TensorFlow
  • NASA + EPA datasets
  • Time-series forecasting for PM2.5, CO2, and TDS/pH

IoT Hardware

  • Raspberry Pi, ESP32, MQ135 (Air), TDS/pH Sensors (Water), DHT11
  • Solar-powered field deployment

Drone Swarm

  • PX4, ArduPilot, OpenCV, GPS-based navigation
  • Payload: Biodegradable nanocellulose sponges (MIT, 2023)

Blockchain

  • Smart contracts via Polygon
  • Data stored using IPFS

Frontend (Coming Soon)

  • Flutter-based AR mobile app
  • Citizen dashboard + eco-token wallet

🌍 Impact Goals

30% PM2.5 reduction in pilot cities (12 months)
Water contamination response time: Days → Minutes
100K+ citizens engaged through AR gamification


🧪 MVP: Get Started

You can build a working prototype using:

  • 📡 Hardware: Raspberry Pi + MQ135 (Air), TDS/pH (Water)
  • 🧠 AI: Use forecasting notebooks in /notebooks/
  • 🚁 Drone Simulations: PX4 SITL setup in /drones/

🎯 Use Cases

  • 🚨 Emergency Pollution Response: Drone swarms auto-deployed
  • 🏭 Corporate ESG Compliance: Immutable pollution logs
  • 📲 Citizen Reporting: AR scanner + eco-token incentives
  • 🌍 Municipal Command Dashboard: Live pollution monitoring

🔗 Resources & Demos


🤝 Contributing

We welcome collaborators from:

  • 🌱 Climate Tech & Sustainability
  • 🧪 IoT, Sensors & Drones
  • 📲 Web3 & AR/Flutter Developers

Ways to contribute:

  • Fork this repo and submit a Pull Request
  • Report bugs and suggest features via Issues
  • Reach out via email: [email protected]

⭐ Support the Project

If you believe in AI for climate justice:

  • 🌟 Star this repo
  • 📢 Share with your network
  • 🤝 Partner with us for deployment or funding

EcoGuard AI turns real-time data into real-world action.
Let’s build a cleaner, safer, smarter planet — together. 🌍✨