International Research Journal of Engineering and Technology (IRJET) Volume: 11 Issue: 04 | Apr 2024
www.irjet.net
e-ISSN: 2395-0056 p-ISSN: 2395-0072
E TRAINER: POSTURE CORRECTION AND PERSONALISED DIET RECOMMENDATION SYSTEM Simran Patole
Ankur Chavhan Department of Information Technology VPPCOE&VA, University of Mumbai
Department of Information Technology VPPCOE&VA, University of Mumbai
Rhucha Sawant
Chaitanya Avhad
Department of Information Technology VPPCOE&VA, University of Mumbai
Department of Information Technology VPPCOE&VA, University of Mumbai
Pratham Kate
Department of Information Technology VPPCOE&VA, University of Mumbai ---------------------------------------------------------------------------***--------------------------------------------------------------------------
Abstract — The E-Trainer application is a pioneering tool I.INTRODUCTION that integrates advanced technologies to provide users with personalized fitness and nutrition guidance. By harnessing computer vision technologies such as CV2, MediaPipe, and NumPy, combined with AIML for conversational interactions, E-Trainer functions as a virtual exercise trainer capable of detecting and estimating exercises in real-time. Through the analysis of human posture captured by the device's camera, the app constructs a skeletal representation to assess exercise accuracy, delivering feedback both visually onscreen and audibly through Natural Language Processing (NLP).
Physical activity is the most essential prerequisite for maintaining or improving overall health. The truth is that people find it very hard to exercise. Above all, the general public is unaware of safe and convenient physical exertion and remains the most critical barrier. Secondly, we must allocate time and the necessary mental strength to maintain a regular workout. Additionally, it is complicated since people frequently lack time due to their hectic working lives. Finally, a personal coach makes a substantial difference since exercise quality and client compliance dramatically use them, as demonstrated by multiple investigations. Personal instruction includes individual guidance, inspiration, and is particularly useful when it comes to recovery, such as repairing muscle following surgery. Sadly, there are not many specialized trainers available, and when there are, the cost is frequently unaffordable for long-term use. Concerns over privacy and possible humiliation can also discourage people from using personal training services. In addition, whether using the equipment at home or at a gym, the possibility of incorrect and perhaps harmful usage is greatly decreased when a trainer is present. This paper introduces the E-Trainer, program created to completely change the way we think about diet and exercise. With the use of technologies like MediaPipe[2], CV2, NumPy, and AIML, E-Trainer provides customers with a comprehensive solution for bettering their food and exercise routines.
Key functionalities of E-Trainer include real-time exercise monitoring, where the app tracks the user's performance and maintains an exercise count displayed on the screen. Additionally, the application offers diet recommendations based on user input and nutritional values, utilizing machine learning techniques such as logistic regression implemented with scikit-learn. By incorporating datasets containing foods tailored to various health objectives, including weight maintenance, loss, and gain, E-Trainer provides personalized dietary advice to support users in achieving their fitness goals. KEY WORDS - Personalized Fitness, Artificial Intelligence And Machine Learning Algorithms, CV2, Numpy, Mediapipe.
Two features of E-Trainer are designed to maximize fitness engagement and encourage healthier living. Fundamentally, E-Trainer functions as a computerized fitness
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