Varuna AI

AI Disaster Intelligence Platform

Tagline: Predict. Prepare. Protect.

---

Overview

Varuna AI is an AI-powered Disaster Intelligence Platform designed to improve disaster preparedness and emergency response through centralized monitoring and intelligent decision support.

The platform integrates weather intelligence, disaster mapping, emergency resources, hospitals, rescue operations, and analytics into a unified dashboard for government agencies and disaster management authorities.

The current prototype focuses on flood disaster management in Assam and is designed to scale for multiple disaster types and regions.

---

Live Demo

Frontend: https://varuna-ai.vercel.app/

Backend API: https://varuna-ai.onrender.com/

API Documentation (Swagger): https://varuna-ai.onrender.com/docs

---

Vision

Build an intelligent disaster management ecosystem that enables proactive decision-making using Artificial Intelligence.

---

Key Features

• Real-Time Dashboard
• Weather Intelligence
• Interactive Disaster Map
• Flood Risk Prediction (Prototype)
• Emergency Alerts
• Hospital Monitoring
• Rescue Team Management
• Resource Management
• Reports & Analytics
• Responsive Dashboard UI

---

System Architecture

Weather Data
Satellite Data
GIS Data
Hospital Data
Rescue Data
        │
        ▼
     FastAPI Backend
        │
 ├── Dashboard
 ├── Weather
 ├── Alerts
 ├── Prediction
 ├── Hospitals
 ├── Resources
 ├── Rescue
 ├── Reports
 └── Analytics
        │
        ▼
 JSON Data Layer
(Current Prototype)

Future:
PostgreSQL • PostGIS • Neo4j

---

Frontend Architecture

Browser
    │
    ▼
HTML • CSS • JavaScript
    │
    ▼
Dashboard Components
    │
    ▼
API Layer (config.js)
    │
    ▼
FastAPI Backend

---

Backend Architecture

FastAPI
│
├── API Routes
│
├── /dashboard
├── /alerts
├── /weather
├── /prediction
├── /hospitals
├── /resources
├── /rescue
├── /reports
├── /analytics
├── /settings
└── /disaster-map
│
▼
Service Layer
│
├── dashboard_service.py
├── alert_service.py
├── weather_service.py
├── prediction_service.py
├── hospital_service.py
├── resource_service.py
├── rescue_service.py
├── report_service.py
├── analytics_service.py
└── disaster_map_service.py
│
▼
Database Loader
│
▼
JSON Dataset (Current Prototype)

---

Technology Stack

Frontend

• HTML5
• CSS3
• JavaScript (ES6)
• Leaflet.js
• Chart.js
• Responsive Design

Backend

• FastAPI
• Python
• Pydantic
• Uvicorn

Current Data Layer

• JSON Dataset

Planned Technologies

• PostgreSQL
• PostGIS
• Neo4j
• LangChain
• OpenAI / Gemini
• TensorFlow
• PyTorch
• OpenCV
• Multi-Agent AI
• Digital Twin

---

Deployment

Component	Platform
Frontend	Vercel
Backend	Render

---

Repository Structure

VarunaAI/
│
├── backend/
│   ├── app/
│   │   ├── api/
│   │   ├── services/
│   │   ├── database/
│   │   ├── models/
│   │   ├── schemas/
│   │   ├── core/
│   │   └── utils/
│   │
│   ├── requirements.txt
│   ├── Dockerfile
│   └── main.py
│
├── frontend/
│   ├── css/
│   ├── js/
│   ├── assets/
│   └── index.html
│
├── docs/
├── assets/
├── README.md
├── LICENSE
└── .gitignore

---

Project Status

Implemented

• Interactive Frontend Dashboard
• FastAPI Backend
• REST API Architecture
• Dashboard Module
• Weather Module
• Disaster Map
• Alerts
• Hospitals
• Rescue Operations
• Resources
• Reports
• Analytics
• JSON-Based Data Layer

In Progress

• Frontend–Backend Integration
• Live Weather API Integration

Planned

• AI Prediction Models
• PostgreSQL Migration
• Knowledge Graph
• Digital Twin
• Multi-Agent AI
• IoT Integration
• Citizen Mobile Application

---

Future Scope

• Real-Time Satellite Data
• IoT Sensor Integration
• Explainable AI
• Digital Twin Simulation
• Intelligent Resource Optimization
• National-Scale Deployment

---

Contributing

Contributions are welcome.

1. Fork the repository.
2. Create a feature branch.
3. Commit your changes.
4. Push your branch.
5. Open a Pull Request.

---

License

This project is licensed under the MIT License.

---

Varuna AI

Predict. Prepare. Protect.