Fengyi Huang
ChatCHW: AI for Community Health Workers
Across the globe, 2 billion underserved individuals rely on the services of over 2 million Community Health Workers, or CHWs. However, CHWs typically are only given weeks of training and limited resources to serve their communities, making the quality of care often very inconsistent.
ChatCHW is the tool that we are designing to better help these CHWs with serving their communities, featuring the ability to ask questions, display a diagnosis, and recommend treatment based on existing clinical guidelines, ensuring that CHWs are able to provide better and more consistent levels of care to those members of their communities.
Message To Sponsor
Thank you very much for supporting this opportunity, as it lets me combine my passion for helping better the world with my love for new technologies! This research has been a major part of my time here at UC Berkeley, and I am committed to seeing it through!
Major: Computer Science, Applied Mathematics
Mentor: David Levine, Haas School of Business
Sponsor: Chandra Research Fellows - Chandra Fund