• Mr. Abhishek Patra
• Ms. Isha Panchal

FitMind is designed to promote both physical and mental well-being through personalized fitness routines, mental health monitoring, and adaptive wellness recommendations. Leveraging advanced machine learning algorithms, the app tailor’s workout plans, mindfulness exercises, and nutritional suggestions based on user preferences, goals, and real-time data. It integrates biometric feedback, such as heart rate and sleep patterns, to optimize user health outcomes. The AI models continuously evolve, learning from user behavior and global wellness trends to refine personalized experiences. The application addresses mental health by providing an aptitude test to identify potential mental disorders, alongside a chatbot that offers cognitive behavioral therapy (CBT) techniques. It also recommends meditation and yoga practices to improve mental resilience. For physical fitness, the application offers tailored exercise plans, diet recommendations, and daily routine suggestions to promote a healthier lifestyle. By integrating mental and physical health support, this comprehensive solution empowers users to achieve balanced well-being in their daily lives. Its cross-platform functionality ensures seamless integration with smart devices, offering users a holistic approach to wellness, backed by data-driven insights and tailored mental health support. By merging physical fitness and mental well-being, the app empowers users to achieve a balanced, healthier lifestyle.

AI-Powered Health App, Machine Learning in Wellness, Biometric Data Integration, Cognitive Behavioral Therapy (CBT)

"FitMind: A Holistic App for Total Mental and Physical Wellness", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 4, page no.k561-k566, April-2025, Available :http://www.jetir.org/papers/JETIR2504A73.pdf

"FitMind: A Holistic App for Total Mental and Physical Wellness", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 4, page no. ppk561-k566, April-2025, Available at : http://www.jetir.org/papers/JETIR2504A73.pdf