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Design and Development of an Intelligent Fitness Tracking and Recommendation System

Year: 2026
Type: article
Abstract: The rapid advancement of technology has shifted app development from hardware-based to software-driven systems, transforming operations for industries and individuals worldwide.Modern companies increasingly invest in technology-focused, personalized products powered by Artificial Intelligence (AI), Machine Learning (ML), big data, analytics, and cloud computing.Among the most impactful innovations is the intelligent ecosystem of wearable devices, which significantly enhances global health and well-being.AI and ML form the core of decision-making in these systems, extending their use beyond simple activity tracking.This research paper presents the concept of a socially engaging fitness tracking and advising mobile application that integrates both physical and mental health features.The study identifies essential components of an effective health-centered web application and emphasizes the unification of multiple health functions into a single platform.The proposed system, including a mental wellness module, was designed and tested for usability, with the study focusing on its applicability to the Taiwan market.
Language: English
Open Access status: diamond
OpenAlex ID: W7129209287
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