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7.883 Call For Paper

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Author(s):

Ms.A.Aruna | Sridhar R | Mohammed Yasher M | Devaprasath K
Keywords:

Artificial Intelligence, Computer Vision, MediaPipe, OpenCV, Posture Correction, Python, SQLite, Streamlit, Real-time Monitoring.
Abstract:
The FitKit Application Is An Innovative And Comprehensive Digital Fitness Solution Designed To Streamline Personal Health Tracking And Ensure Safe Workout Practices Through Artificial Intelligence. Traditional Fitness Applications Primarily Focus On Manual Logging And Generic Video Tutorials. FitKit Revolutionizes This By Integrating Real-time Computer Vision To Provide Live Posture Analysis And Automated Exercise Logging. Built Using Python And The Streamlit Framework, The System Leverages Google's MediaPipe Pose Detection And OpenCV To Monitor User Movements During Exercises Such As Planks, Wall Sits, And Squats. The Application Features A Robust SQLite Backend For Secure User Data Management, Progress Tracking, And Exercise History. Additionally, The System Provides Real-time Voice Feedback Using Pyttsx3 To Correct User Form Instantly, Reducing The Risk Of Injury. FitKit Also Incorporates A Personalized Dietary Advisory Module That Tailors Nutrition And Workout Intensity Based On The User's BMI, Fitness Goals, And Dietary Preferences. This Project Aims To Replace Unstructured Workout Routines With An Intelligent, Automated Coach That Enhances User Motivation, Ensures Proper Form, And Provides Actionable Health Insights.