Intelligent Gym Assistive System: Sensor Based Monitoring, Real-Time Alert, And AI-Enhanced Personalised Workout

Abstract

With its focus on the user and cutting-edge technology, the Gym Assistive AI initiative changes the way people work out.  At its heart is a Node MCU microcontroller that works with some sensors, such as a heart rate sensor, temperature sensor, fingerprint module, keypad, and LCD.  This collection of hardware parts is what makes a personalised exercise experience possible.  Users enter their basic information, including their weight and height, so the system can make exercise suggestions that are right for them.  This personalised method makes sure that every workout is as successful as possible.  Visual Studio Code and OpenCV enable the system to communicate with a computer, thereby enhancing the user experience through real-time visual guidance and monitoring exercises.  This connectivity also makes it easy to analyse data, which lets users keep track of their progress.  Users can stay informed and motivated during their workouts because they get immediate feedback on the LCD screen.  Gym Assistive AI also changes its training routines based on user feedback and performance, which keeps users interested and helps them get better.  Gym Assistive AI is an essential partner for everyone looking for a personalised and effective workout regimen because of its dynamic and immersive characteristics.