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This is my fitness_tracker application that is used to analyze the persons pose and also provide customized diet aacording to the body types

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πŸ’ͺ Fitness4Me: AI Supported Personalized Fitness Trainer Web Application

Fitness4Me is an AI-powered personalized fitness trainer web application that integrates with smartwatches to provide customized workout routines, meal plans, and real-time health tracking. It aims to bridge the gap between traditional fitness apps and intelligent, adaptive health platforms by offering personalized recommendations based on user behavior and biorhythmic patterns.


🧠 Project Description

With the rise of wearable tech and digital health solutions, users demand more from fitness platforms. Fitness4Me brings together real-time smartwatch data, AI-driven analysis, and an intuitive UI to serve as your virtual personal trainer and dietitian.

The application adapts daily plans based on your energy levels, sleep cycles, and step counts using biorhythm score algorithms and AI models trained for personalized health recommendations.


πŸš€ Features

  • ⌚ Smartwatch Integration (Google Fit, Apple HealthKit)
  • πŸ“Š Biorhythm Score Analysis using sleep, heart rate, and step data
  • πŸ§˜β€β™‚οΈ Personalized Workout and Meal Plans
  • πŸ“Έ Posture Detection via OpenCV + MediaPipe
  • πŸ“ˆ Daily Progress Visualization
  • πŸ”” Reminders & Notifications
  • πŸ” Secure local storage with SQLite3

πŸ› οΈ Tech Stack

Frontend

  • HTML5
  • Tailwind CSS
  • JavaScript

Backend

  • Flask (Python)

Database

  • SQLite3

AI & ML

  • OpenAI (GPT-based recommendation engine)
  • LangChain, Vector DB for knowledge handling
  • OpenCV & MediaPipe for real-time posture tracking

Visualization

  • Matplotlib

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This is my fitness_tracker application that is used to analyze the persons pose and also provide customized diet aacording to the body types

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