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Fall 2015
Department/Lab/Center: The MIT Energy Initiative (MITEI)
Faculty Supervisor: Robert Stoner
Project Title: Data analytics software development for bringing electricity to rural India
Project Description: Over 1 billion people live in areas without electricity. We're developing machine learning and data analysis tools to help renewable energy companies bring electricity to these people. We do this by automatically analyzing satellite images of enormous tracts (> 100km^2) of predominantly rural land. Our software finds villages, simulates how to wire them up, and estimates the cost of thousands of wiring configurations per village. We regularly communicate with renewable energy companies to make sure what we provide them is useful.
Candidate role: The student will play a pivotal role in developing GUI software to help streamline data analysis and enable interactive power grid planning assistance. This software will link up with our machine learning and power grid simulation tools, and have an accompanying framework for crowdsourcing training data collection for machine learning algorithms. There may be an opportunity to travel to India to participate in meetings with our partners.
Prerequisites: Strong interest in data science for social good, and basic experience with Python, user-interface design, and web development are necessary. Some background in machine learning, computer vision, image processing, and optimization is a plus.
Contact Name: George Chen
Contact Email: [email protected]
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