BHUMI-X

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  problem statement

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  ml score

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  architecture

Inspiration

From Urban Data to Intelligent Development Decisions BHUMI-X is an AI-powered urban intelligence platform designed to help planners and developers understand environmental conditions and evaluate development scenarios before construction.

It brings spatial data, machine learning, environmental analysis and scenario simulation into a unified decision-support platform.

Key Features Interactive urban and parcel exploration Spatial and environmental analysis Thermal comfort and heat-stress analysis Wind and pedestrian comfort analysis ML-powered environmental insights Development scenario and What-If analysis Impact comparison between scenarios AI-assisted decision support How BHUMI-X Works Urban & Environmental Data ↓ Data Processing ↓ ML / Analysis ↓ Risk Identification ↓ Scenario Simulation ↓ AI-Assisted Insights ↓ Intelligent Development Decisions Technology Stack Frontend: React, JavaScript Backend: Python / FastAPI AI/ML: Python, Scikit-learn, Pandas, NumPy Mapping & Visualization: Interactive geospatial visualization Version Control: Git & GitHub Run Locally Prerequisites Node.js 18+ npm Python 3.10+ (if backend is included)

1. Clone the Repository git clone YOUR_GITHUB_REPOSITORY_URL cd BHUMI-X
2. Install Dependencies npm install
3. Start the Application npm run dev Open the URL displayed in your terminal, typically:

http://localhost:5173 Backend If the backend is included:

cd backend pip install -r requirements.txt uvicorn main:app --reload The API will typically be available at:

http://127.0.0.1:8000 Objective BHUMI-X aims to move urban planning from:

"What is happening?"

to:

"What should we change, and what could be the impact?"

The platform is designed to support more data-driven, explainable and climate-resilient urban development decisions.

Prototype Note BHUMI-X is a prototype demonstrating an AI-assisted urban decision-support workflow. Where granular real-world data is unavailable, realistic synthetic or scenario-based data may be used to demonstrate the system.

Prototype outputs should be treated as decision-support estimates and not as certified engineering or planning predictions.

BHUMI-X From Urban Data to Intelligent Development Decisions.

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for BHUMI-X

Built With

• geopandas
• machine-learning
• numpy
• pandas
• plotly
• python
• scikit-learn
• streamlit