Climate change is the most severe threat that humanity is facing today. Nothing matters to society other than slowing climate change and solving climate-related problems. AI has the potential to tackle climate change-related problems.

This workshop will explain AI/ML models can be used for natural disaster management, like predicting droughts, rainfall, assessing flood risk, and desertification. We will also discuss how ML models are used for water quality monitoring and also monitoring reforestation programs. Our speaker, Deepali, will also walk us through a few case studies she worked on and the platforms like Google Earth Engine and Streamlit.

About the Speaker

Deepali is a Machine Learning Engineer with a background in environmental science/engineering. Climate change-related issues and mitigation strategies are always close to her heart. She is also a Lead ML Engineer and Program Manager at Omdena. She runs her web development and digital marketing company.

About the Event - a collaborative initiative by DPhi and Databuzz

Databuzz is a volunteer-driven community of AI and Tech enthusiasts working on a mission to help Aspiring Data Scientists/Analysts pivot in this field. It's co-founded by Jatindeep Singh and Supreet Kaur, one of DPhi's past guest speakers and a VP at Morgan Stanley.

DPhi is a global AI community with the vision to make AI education accessible to everyone and build AI for good to solve critical challenges of humanity. As part of its community initiatives, DPhi provides free AI and data science courses by industry experts from large tech companies or startups worldwide. Over 100K+ learners from 150+ countries have benefited since its inception in 2020.

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