Problem Statment
Previously, we saw current issues in industry that are common now-a-days. Such as women comfortable, cost issues, unqualified trainers, accessibility barriers, unsafe equipment etc. Now we are working on solving these challenges by developing a Gym Application for all type of users including men, women or any other gender. This application aims to tackle these all issues in real life.
Existing System/ Related Works
Papers:
Apps:
Proposed System Modules
Users can create accounts or log in to access personalized workout plans and track their progress.
Each user has a profile where their workout history, preferences, and goals are stored. This helps tailor exercise recommendations and track progress over time.
Users can access guided home workout routines through the app, with pose estimation providing real-time feedback on form and technique.
Pose estimation assists users in the gym by analyzing their movements and providing guidance on proper form during exercises, enhancing their workout experience.
Beginners Guide Tutorial
The app offers tutorials and instructional videos for beginners, utilizing pose estimation to demonstrate correct exercise techniques and form.
Users can input their height and weight into the app, which calculates their Body Mass Index (BMI) to help monitor their overall fitness progress and set realistic goals.
Gym Pose estimation tracks users' workout history, performance metrics, and improvements over time, providing visualizations and reports to monitor progress
Based on users' fitness goals and progress, the app recommends personalized workout plans and adjustments to help them achieve desired outcomes.
Exercise-Based Pose Estimation (AI)
Pose estimation technology analyzes users' movements during exercises, offering real-time feedback and corrections to ensure proper form and maximize effectiveness.
Muscle-Wise Exercise
Pose estimation can target specific muscle groups during workouts, providing users with exercises tailored to their individual needs and goals.
Advantage of the Proposed System
l Real-time Feedback: Gym pose estimation provides real-time feedback on exercise form and technique, allowing users to make immediate adjustments to improve their performance and reduce the risk of injury.
l Personalized Guidance: Users receive personalized guidance tailored to their specific body movements and limitations, helping them optimize their workouts and achieve better results.
l Improved Accountability: By visually tracking their movements, users are more likely to stay accountable to their fitness goals and adhere to proper form during exercises.
l Injury Prevention: By ensuring proper form and alignment, gym pose estimation helps reduce the risk of injuries that may occur due to incorrect exercise techniques.
l Efficient Workouts: Users can optimize their workout sessions by focusing on areas that need improvement, leading to more efficient and effective workouts.
l Virtual Coaching: Fitness professionals can remotely monitor their clients' workouts and provide feedback and guidance, enabling virtual coaching sessions and expanding their reach beyond physical gym locations.
l Data-driven Insights: Gym pose estimation generates valuable data on users' exercise performance, allowing for analysis of trends, identification of areas for improvement, and tracking progress over time.
l Enhanced Learning: Beginners can benefit from visual feedback and demonstrations of proper form, accelerating their learning process and helping them develop good exercise habits from the start.
l Accessible Training: Gym pose estimation technology can be integrated into various devices and platforms, making fitness training more accessible to a wider audience, including those who cannot afford personal trainers or gym memberships.
l Motivation and Engagement: The interactive nature of gym pose estimation technology can increase user engagement and motivation by providing immediate visual feedback and encouraging users to strive for better performance.
Synopsis Document
Synopsis Presentation
App Screenshots
Team