Personalized Fitness and Diet Planner with Smartwatch Integration
Prof Seema H R1, Arathi K, Hemanth K3, Nandita K4, V S Akhilesh5
1 Prof Seema H R
Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Vidyavardhaka College of Engineering
Mysuru, Karnataka, India
2 Arathi K
Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Vidyavardhaka College of Engineering
Mysuru, Karnataka, India
3 Hemanth K
Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Vidyavardhaka College of Engineering
Mysuru, Karnataka, India
4Nandita K
Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Vidyavardhaka College of Engineering
Mysuru, Karnataka, India
5V S Akhilesh
Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Vidyavardhaka College of Engineering
Mysuru, Karnataka, India
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Abstract - This survey paper explores the intersection of technology and health by delving into the realm of personalized fitness and diet planning, with a focus on seamless integration with smartwatches. The paper reviews existing literature, methodologies, and advancements in the development of innovative solutions that leverage smartwatch capabilities to tailor fitness and dietary recommendations to individual needs. By examining the convergence of data analytics, artificial intelligence, and wearable technology, the survey sheds light on the potential benefits, challenges, and future prospects of adopting a personalized approach to health and wellness. The aim is to provide readers with a comprehensive overview of the current state-of-the-art, fostering a deeper understanding of how the integration of smartwatches into personalized health management systems can contribute to more effective and sustainable lifestyle changes.
Key Words: NLU, NLP, SVM, BERT, API, BMI
