Detect early. Decide faster. Act before it becomes a hazard.
AI Powered Real-time Environmental Intelligence
EcoGuardian is a multi-agent AI system that detects, explains, and prioritizes environmental risks using satellite imagery, multi-sensor data, citizen complaints, and public datasets. It translates complex signals into clear, actionable insights for government officials. Think early warnings, not post-damage reports.
The Problem.
Environmental monitoring today is reactive and fragmented.
- Pollution is discovered after damage is visible
- Data lives in silos across departments
- Satellite data exists but is underused
- Reports are technical and hard to act on
- Citizen complaints are noisy and unstructured
Governments need something simple.
What’s wrong, where, how bad, and what to do next.
The Opportunity.
Use AI agent to continuously watch land, water, and air pollution levels together for specific geographical location which is manually impossible.
- AI Agent should automatically detect changes early.
- Explain them in plain language.
- Help authorities act faster.
That’s where EcoGuardian comes in.
The Solution.
EcoGuardian, an agentic AI system that acts like a fully automated digital environmental officer.
It continuously watches over land, water and air quality and alert authorities before pollution becomes a hazard.
It combines:
- Satellite Vision data
- Air & Water Sensors data
- AI reasoning, detection & validation
- Natural language reporting
All in one Agentic AI Dashboard
How EcoGuardian Works
Multi-Agent Architecture
Satellite Vision Agent
- Analyzes Sentinel-2 imagery
- Uses NDVI for vegetation and land degradation
- Detects abnormal changes over time
Sensor Monitoring Agent
Continuously monitor Air & Water Quality Sensors placed at various geographical locations in the monitor region
Municipal Records Agent
- Analyzes Sentinel-2 imagery
- Uses NDVI for vegetation and land degradation
- Detects abnormal changes over time
Fusion & Reasoning Agent
The main brain of the Agent.
Correlates all agent outputs • Avoids hallucination • Determines risk & confidence • Recommends govt action
Output Agent
- Converts raw signals into human-readable reports
- Explains severity and confidence
- Designed for non-technical officials
Alert & Prioritization Agent
Enables Action & Keeps Officials Accountable
- Flags hotspots
- Ranks urgency
- Suggests next steps
- Tracks resolution & provide transparency to citizens and higher officials
Example Output (Govt. friendly for Non-Technical Officials)
Instead of charts and jargon, EcoGuardian says:
Interactive fully automated agentic AI dashboard
Product Experience
Dashboard Highlights
- City-first view (India → State → City → Ward)
- Live environmental indices
- Interactive heatmaps
- Real-time alerts
- Role-based views for central, state, and municipal users
Built fast. Built smart. Built for impact.
Tech Stack
- Architecture: Multi-agent system
- IDE & Agent Orchestration: AntiGravity
- LLMs: Gemini 2 Flash, Gemini Vision, and OpenAI model
- Frontend: Figma Make, Dashboard-first UX design
- Language: Python, Node
- Database: Mongo DB
- Satellite Data: Sentinel-2
- Data Formats: GeoTIFF, GeoJSON
- Android Application: Java & Kotlin
What Made This Different
- Agent-first design, not chatbot-first
- Focus on explainability, not just accuracy
- Built for real government users
- Designed under hackathon constraints but production-minded
Curious folks all determined to solve the problem.
Product Team
- Komal – Product Lead
- Shweta – Developer
- Himanshu – Developer
- Avinash – Android Developer
My Role:
As a product lead, I led building EcoGuardian end to end.
- Product strategy and vision
- Defined outputs & success metrics
- System design and finalized agent architecture with team
- Data sources verification
- AI prompting and logic design
- UX flows and dashboard structure
- Storytelling and presentation
From zero to working prototype.
EcoGuardian reflects how I build products.
- Strong problem framing.
- Clear user empathy.
- Deep tech understanding.
- And a bias toward execution.
Real world impact
EcoGuardian is a decision making system that enables quick preventive action to solve most critical problem we’re facing today.
- Early detection instead of late reaction
- Better prioritization of inspections
- Reduced environmental damage
- Faster response times
- More trust in data-driven governance
…and that’s how we tried to solved most alarming problem faced by North Indian cities with tech.