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April 30, 2024International Journal of Innovative Research in Information Security0 citationsOpen Access

AI Enabled Fitness Analyser

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JNJ. Nithya

Key Points

  • The Diet-Fit platform integrates automated pose detection with nutritional planning, accurately tracking repetitions and calories during workouts.
  • Framework utilizes Mediapipe and OpenCV tools to capture real-time user body movements, delivering tailored exercise routines and diet plans.
  • Incorporating computer vision into personal fitness systems supports automated form tracking, facilitating informed health and wellness habits.

Abstract

In today's fast-paced world, maintaining a healthy lifestyle is paramount for overall well- being. In line with this goal, we present Diet-Fit, an innovative application designed to revolutionize fitness tracking and dietary planning. By integrating a diet planner and exercise tracker, Diet-Fit aims to empower users to take control of their health and make informed lifestyle choices. Leveraging state- of-the-art technologies such as Mediapipe and OpenCV, the application offers advanced pose detection capabilities, accurately detecting exercise poses, counting repetitions, and tracking calories burned during workouts. Through personalized workout routines and dietary recommendations, Diet-Fit seeks to improve overall fitness levels and promote healthier lifestyle habits among users. By harnessing the power of artificial intelligence and computer vision, Diet-Fit represents a significant step towards enhancing fitness tracking and fostering a culture of wellness in the digital age.

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Cite This Study

J. Nithya (2024) studied this question.

synapsesocial.com/papers/68e6cde6b6db64358764baefhttps://doi.org/10.26562/ijiris.2024.v1003.23
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