Project AI-Driven Walkability Ecosystem: Enhancing Public Health through Personalized, Social, and Adaptive Mobility Solutions Program DUIRI - Discovery Undergraduate Interdisciplinary Research Internship Term Spring 2025 Status Accepted Research Area Artificial Intelligence; Large Language Models; Human Computer Interaction; Decision Support Description This project proposes the development of an AI-Driven Walkability Ecosystem, a personalized, real-time mobile application designed to enhance walkability and public health by integrating adaptive technology with social and behavioral insights. The app will leverage artificial intelligence (AI) to provide personalized walking experiences tailored to individual health profiles, real-time environmental conditions, and personal preferences. By incorporating both psychological engagement strategies and social motivation, the app aims to promote sustained walking habits, improve physical health outcomes, and create healthier urban communities. Supervisor Gaurav Nanda Mentor Gaurav Nanda Type of work required The student is expected to develop a prototype mobile application interfacing with Large Language Models, Maps, Health App, and few other mobile applications. Websites Qualifications Programming skills in the areas of developing mobile application, LLM powered chatbots, and using LLM and Map APIs. Credit Hours 0 Weekly Hours 5 (estimated)