“Real data, real environmental challenges — real learning.”
Part of team Ecobyte — helped build an AI climate digital twin for Maharashtra cities, modelling heat, flood and water-stress risks on a Streamlit dashboard.
In their words
The hands-on curriculum at phaiAI completely elevated my tech skills. Working through real-world assignments gave me a solid foundation, which culminated in building an end-to-end Climate Digital Twin project. Applying complex data to solve real environmental challenges was incredibly rewarding, and the practical approach made all the difference in my learning journey.
6
Tools & Frameworks
3
Models
5
AI Concepts
77%
Avg. Proficiency
AI Proficiency
Data Analysis
ML Modeling
Geospatial Analytics
Data Visualization
Tools & Frameworks
Models
Concepts
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.
Built alongside
