Eco Sentinel AI

🌍 EcoSentinel AI – Cognitive Digital Twin for Smart Cities

💡 Inspiration

As cities grow faster, environmental risks like air pollution and water contamination are becoming harder to predict and manage. Most smart city systems only show data — they don’t act on it.
EcoSentinel AI was created to change that by making cities not just smart, but intelligent and proactive.

⚙️ What It Does

EcoSentinel AI acts like a digital brain for cities:

🗺️ Real-time city monitoring with an interactive map
📊 Live tracking of air and water quality
⚠️ Simulates threats like smog spikes or contamination
📉 Instantly calculates risk, population impact, and cost
🔐 Maintains a transparent audit log
📄 Generates reports in one click
🤖 Built-in AI assistant for instant technical insights

🛠️ How It’s Built

Frontend: HTML, CSS (glassmorphism UI)
Logic: Vanilla JavaScript simulation engine
Charts: Chart.js
Maps: Leaflet.js + OpenStreetMap
Reports: jsPDF
AI Chatbot: Custom-built NLP (no external APIs)

🚧 Challenges

Fixing UI overlaps between maps and headers
Keeping simulations, charts, and reports in sync
Building a fast chatbot without external services

🏆 Achievements

Fully client-side AI system with zero latency
Real-time simulation + reporting working seamlessly
Functional edge AI chatbot
Transparent event logging system

📚 What We Learned

Managing real-time data efficiently
Optimizing frontend performance
Handling spatial map data dynamically
Building lightweight AI logic from scratch

🔮 What’s Next

🔌 IoT integration (Raspberry Pi + sensors)
☁️ Cloud backend (FastAPI)
📈 Predictive AI models (LSTM, ARIMA)

🌱 Vision

EcoSentinel AI aims to evolve into a fully autonomous urban intelligence system — one that can predict, analyze, and act to protect cities in real time.