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Jamila Neemuchwala

phaiAI Fellow

Jamila Neemuchwala

phaiAI Fellow

Data-driven climate action for cities that can't wait.

Built an AI climate digital twin for Maharashtra cities with team Ecobyte — modelling heat, flood and water-stress risks on a Streamlit dashboard so municipal authorities can plan preventive action.

In their words

Good opportunity to get experience from Industry experts and to get real problem solving insights.
Jamila Neemuchwala, JSPM's Rajarshi Shahu College of Engineering

6

Tools & Frameworks

3

Models

5

AI Concepts

78%

Avg. Proficiency

AI Proficiency

82%

Data Analysis

79%

ML Modeling

73%

Geospatial Analytics

79%

Data Visualization

Tools & Frameworks

StreamlitPythonPandasGeoPandasPlotlyScikit-learn

Models

Random ForestXGBoostTime-Series Regression

Concepts

Climate Risk ModelingUrban AnalyticsDigital TwinsFeature EngineeringPolicy Simulation
AI-Powered Climate Digital Twin for Maharashtra Cities

Project · Climate & Sustainability

AI-Powered Climate Digital Twin for Maharashtra Cities

Ecobyte

An AI-powered climate digital twin that assesses climate risks for Maharashtra cities — heat waves, urban flooding and water stress — and simulates future scenarios to support climate-resilient urban planning. The team built ML risk models and a policy engine on a Streamlit dashboard so municipal authorities and disaster agencies can take data-driven preventive action.

StreamlitML Risk ModelsGeospatial AnalyticsPython

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