Wellness AI: A Comprehensive Fitness and Wellness Platform

Abstract

The rapid expansion of online fitness has highlighted a critical gap: the absence of intel ligent analysis, real-time form correction, and expert oversight in existing applications. This often results in users failing to achieve intended fitness goals or suffering injuries due to improper technique. To address this necessity for combining professional guidance and artificial intelligence, the WellnessAI platform is introduced as a comprehensive, role-based digital wellness ecosystem designed to bridge this divide. The platform provides a complete and unified user experience on a single, secure in terface, encompassing plan browsing and purchasing, trainer appointment booking, in-app payments, professional onboarding, and administrative monitoring. The architecture is founded on a robust Flutter application for the mobile experience, with all user and operational data securely managed by Firebase Authentication and Cloud Firestore. The core innovation resides in the web-based AI Workout Module, developed using Vue.js and Django. This module leverages MediaPipe Pose to extract body landmarks in real time and applies pretrained machine learning models to perform critical functions, including repetition counting, exercise stage classification, and precise error detection for exercises such as squats, lunges, and bicep curls. Supporting the system are components like Firebase Cloud Messaging (FCM) for notifications and Cloudinary for secure media storage. By integrating this intelligent, real-time posture analysis with a professional service layer, WellnessAI facilitates safe, proper, and effective home-based exercises. This advancement empowers users with smart, expert-inspired feedback, driving improved performance, motivation, and overall well-being, thus marking a significant innovation in the digital fitness landscap