🌍 UrbanMind

Real-Time Big Data Platform for Urban Intelligence and Predictive Decision Support

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🚀 Overview

UrbanMind is an AI-powered Smart City Intelligence Platform designed to collect, process, analyze, predict, and visualize urban environmental intelligence using Big Data and Machine Learning.

The platform integrates:

• Real-time analytics
• Forecast intelligence
• Monitoring dashboards
• Geospatial insights
• AI assistance
• Predictive modeling
• Production-ready deployment

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✨ Features

📊 Analytics Dashboard

Analyze environmental and urban metrics in real time.

🔮 Forecast Intelligence

Generate weather and urban predictions.

🌍 Geo Intelligence

Visualize locations and urban conditions.

🖥 Monitor Center

Monitor platform health and operations.

🤖 Urban AI Assistant

Interactive assistant for insights.

🧠 Machine Learning Prediction

AI-driven predictive analysis.

🐳 Docker Deployment

Containerized production architecture.

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🏗 System Architecture

             ┌────────────────────┐
             │     Frontend       │
             │     Streamlit      │
             └─────────┬──────────┘
                       │
                       ▼

             ┌────────────────────┐
             │     FastAPI API    │
             │    Backend Layer   │
             └─────────┬──────────┘
                       │
                       ▼

             ┌────────────────────┐
             │ Machine Learning   │
             │ Prediction Engine  │
             └─────────┬──────────┘
                       │
                       ▼

             ┌────────────────────┐
             │ Data Processing    │
             │ Urban Intelligence │
             └────────────────────┘

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📸 Platform Screenshots

Dashboard

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Analytics

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Forecast

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Geo Intelligence

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Monitor Center

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Urban AI Assistant

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Reports

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Settings

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⚙ Installation

Clone Repository

git clone https://github.com/RevanthSettipalli/UrbanMind.git

Move into project:

cd UrbanMind

Create environment:

python -m venv venv

Activate environment:

Mac/Linux

source venv/bin/activate

Windows

venv\Scripts\activate

Install packages:

pip install -r requirements.txt

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▶ Run Backend

uvicorn backend.api.app:app --reload

API:

http://localhost:8000

Swagger:

http://localhost:8000/docs

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🌐 Live Demo

Coming Soon

Frontend: localhost:8502

API: localhost:8000/docs

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▶ Run Frontend

streamlit run frontend/app.py

Open:

http://localhost:8502

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🧠 Machine Learning Model

Algorithm

RandomForestRegressor

Current Metrics

MAE : 3.821
R²  : 0.267

Model Output

• Temperature Prediction
• Forecast Insights
• Urban Health Analysis
• Recommendation Engine

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📂 Project Structure

UrbanMind
│
├── assets/
│
├── backend/
│   ├── api/
│   ├── auth/
│   ├── ml/
│
├── frontend/
│   ├── pages/
│   ├── utils/
│
├── data/
│
├── docs/
│
├── tests/
│
├── Dockerfile
├── docker-compose.yml
├── requirements.txt
├── README.md

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🐳 Docker

Build:

docker-compose build

Run:

docker-compose up

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🔥 Future Enhancements

• Real-time streaming
• Advanced forecasting
• LLM integration
• Kubernetes deployment
• Mobile dashboard
• Multi-city intelligence

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📈 Project Goals

UrbanMind aims to become an intelligent urban analytics ecosystem capable of:

✔ Predictive Decision Support
✔ Smart Monitoring
✔ AI Insights
✔ Big Data Analytics
✔ Scalable Deployment

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👨‍💻 Author

Revanth Settipalli

GitHub:

https://github.com/RevanthSettipalli

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