Nuvana: An AI-Driven Smart Fitness and Activity Optimization Application for Students
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Abstract
This paper proposes Nuvana, an Artificial Intelligence (AI)-driven smart fitness and activity optimization application designed to address the challenges of sedentary behavior, academic stress, and lack of personalized wellness support among students. Unlike conventional fitness applications that primarily focus on activity tracking, the proposed system integrates physical fitness, mental well-being, nutrition, and academic productivity into a unified platform. The application leverages AI techniques to analyze user data, including activity patterns, study behavior, and sleep cycles, to generate personalized workout and recovery plans, optimize daily schedules, and provide adaptive recommendations. Key features such as distance-based competitive challenges, real-time progress dashboards, study timers, budget-oriented meal planning, and stress and sleep optimization tools enhance user engagement and promote a balanced lifestyle. The system follows a modular architecture consisting of user interface, application, AI processing, and database layers to ensure scalability and efficiency. Experimental analysis indicates that the proposed system improves user activity levels, reduces sedentary habits, and enhances overall well-being and academic performance. Thus, Nuvana provides a comprehensive and intelligent solution for promoting a healthy and productive student lifestyle
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