How Data Science Helped Build a Smarter Fitness App episode artwork

EPISODE · May 21, 2026 · 27 MIN

How Data Science Helped Build a Smarter Fitness App

from UMBC Mic'd Up · host UMBC Mic'd Up with Dennise

Manikanta Sirumalla, a graduate student in UMBC’s Data Science program, shares the story behind Rep Track Pro — an AI-powered fitness app designed to bring workouts, nutrition, recovery, and progress tracking into one place.In this conversation, he discusses how his own fitness journey inspired the idea, the challenges of building and launching an app as a solo founder, and how coursework in UMBC’s Data Science program helped shape the technology behind it. From machine learning models to real-world user feedback, this is a story about innovation, persistence, and building something meaningful from the ground up.Learn more about UMBC’s Data Science graduate program:https://professionalprograms.umbc.edu/data-scienceLearn more about RepTrack Pro App: https://reptrackpro.org/

Episode metadata supplied by the publisher feed · Published May 21, 2026

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How Data Science Helped Build a Smarter Fitness App

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