Student(s): Evan Mazor
Project: Designing an AI-powered Voice Assistant Device for Healthcare Workers in Low-Resource Settings
Advisor(s): Eric Obeysekare
Abstract
Technology using artificial intelligence (AI) has emerged with the potential to transform healthcare systems of low- and middle-income countries. Nonetheless, there is a lack of implementation of context-aware medical education devices. Many barriers exist in the implementation of these devices, often revolving around lack of internet access and electricity. We introduce AISHA, an offline voice-activated device which leverages the conversational abilities of AI to provide healthcare knowledge in rural areas. In this article, we explore AISHA’s design, capabilities, and limitations. We demonstrate the need for devices like AISHA and discuss their potential to transform the way healthcare workers interface with information. This research may assist other ventures in building similar devices in the future. By describing the design of the AISHA device, we will evaluate the considerations of introducing AI-based healthcare solutions in underserved areas.
About Evan Mazor
Major: Computer Science and Engineering
Evan Mazor is a junior studying Computer Science at Lehigh University’s College of Engineering and Applied Science. As an AISHA Impact Fellow, Evan has contributed to the development of a voice-activated device designed to support healthcare workers in low-resource settings in Makeni, Sierra Leone. His work spans building an offline smart-speaker device, training voice models for local languages, and creating systems for providing reliable healthcare information. Beyond AISHA, Evan is a founding engineer at HyperRep, an AI startup that has automated sales processes for over 30 businesses, saving over 4,000 hours of time while more than doubling sales rates. His passion lies at the intersection of technology and global impact.