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<Title>How Data Science Helped Build a Smarter Fitness App</Title>
<Tagline>UMBC alum Manikanta Sirumalla (MPS '26) shares his story</Tagline>
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    <div class="html-content"><p>AI-powered fitness apps are transforming personalized training by combining data, recovery insights, and adaptive workout planning into a single experience tailored to individual goals. For UMBC Data Science graduate student <a href="https://www.sirumallamanikanta.com/" rel="nofollow external" class="bo">Manikanta Sirumalla</a>, that realization came from years of personal experience in the gym. After struggling with disconnected fitness apps and generic workout plans, he decided to build something better. In this <a href="https://professionalprograms.umbc.edu/blog/ai-powered-fitness-apps-and-personalized-training/" rel="nofollow external" class="bo"><strong>conversation</strong></a> with Dennise Cardona, he reflects on his journey from iOS developer to founder, how UMBC shaped his thinking, and what it takes to build an AI-powered fitness platform from the ground up.</p></div>
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<Summary>AI-powered fitness apps are transforming personalized training by combining data, recovery insights, and adaptive workout planning into a single experience tailored to individual goals. For UMBC...</Summary>
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<Sponsor>UMBC AI</Sponsor>
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<PostedAt>Fri, 22 May 2026 13:54:36 -0400</PostedAt>
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