A gym trainer and monitoring system that has various workout regimes for weight gain and weight loss. Both these options have a trainer. On entering the weight gain trainer it asks for your body weight, height and other answers. Depending o that it calculates your body mass index. It then shows you a workout schedule depending on the amount of weight you need to gain from your current status. It then keeps monthly track of your BMI and completes the cycle when you reach your goal. Similarly the weight loss trainer trains and monitors your workout and provides appropriate training and results.

 

·       User and Admin Account: It has two login accounts member login and admin login.

 

·       Gym Admission: User data can be entered for new members including name, age, height , weight  and more details.

 

·       BMI Calculation: The system keeps track of user BMI and tracks improvement.

 

·       Workout suggestion: The system prepares workout schedule for user based on his BMI and body type.

 

·       Diet Consultancy: The system Provides diet consultancy

 

Advantages:

·       Helps gyms automate member data and fees status tracking.

·       Helps gym to provide weekly fitness report.

·       Helps gym to easily large customer data.

 

Disadvantages:

·       May lead to unemployment of workers since one person can handle large amount of data using the system

Applications:

·       This system can be used in single gyms.

·       This system can be used to manage a chain of gyms.

 

 

 

 

 

Software Requirements:

·       Windows Xp, Windows 7(ultimate, enterprise)

·       Sql 2008

·       Visual studio 2010

Hardware Components:

·       Processor – i3

·       Hard Disk – 5 GB

·         Memory – 1GB RAM

 

Abstract: Nowadays virtual assistant is playing a very important role in our daily activities and has become an inseparable part of our lives. As per the Clutch survey report that was published in 2019, almost 27% of people are using AI virtual assistants for performing their day-to-day activities. AI is an emerging field that we aim to explore through this project of AI-based workout assistants. In our work, we introduce Fitcercise, an application that detects the user’s exercise pose counts the specified exercise repetitions and provides personalized, detailed recommendations on how the user can improve their form. The application uses the MediaPipe to detect a person’s pose, and afterwards analyses the geometry of the pose from the dataset and real-time video and counts the repetitions of the particular exercise.

 INTRODUCTION: In our work, we introduce Fitcercise, an application that detects the user’s exercise pose counts the specified exercise repetitions and provides personalized, detailed analysis about improving the user’s body posture. This is an AI-based Workout Assistant and Fitness guide to guide people who don’t have access to the gym but are still willing to work out at home to maintain their physique and fitness and keep their body in good shape. To help them perform the exercises correctly and prevent them from chronicle and immediate injuries. This also provides a personalised health guide and diet plan along with a personalised daily workout calorie count. The application also displays necessary health insurances and policies provided by the government of India for the common people and check the eligibility criteria using API and Web services. Staying at home for long periods of time can become boring, especially when most fun activities are done outdoors, which is difficult considering the current scenario of pandemics and lockdown. But this cannot be a relevant excuse for being unproductive because it is an excellent idea to utilize the extra time we get into our own health. Most gyms have a wide variety of exercise equipment and also have trainers who guide us about the exercise and its correct posture. But the unavailability of the above equipment and trainers can be an important reason that can stop us from doing exercise at home. We aim to build an AI-based trainer that would help you exercise more efficiently in your own homes. The project focuses on creating an AI algorithm to help you exercise, by determining the quality and quantity of repetitions which is done by using pose estimation running on the CPU. This project, which will have a non-distractive interface, intends to make exercising more easy and more fun. We are going to see an overview of the contribution of these families, their algorithms, advantages, disadvantages, its efficiency compared to other existing technologies, applications and possible future work.

 LITERATURE REVIEW: There are numerous applications available in the market which guide the user about the exercises to be performed. But through our application, we not only guide the user regarding which exercise to perform but also about the correct posture and counting the repetitions using computer vision. This application can be considered as the workout assistant which provides real-time posture detection and diet recommendations. The application can not only be used by individuals at homes but by increasing the scope can be used in gyms as smart trainers thus reducing the human intervention. [1]Their objective was to provide a bottom-up approach for the activity of estimation of the pose of the user and real-time segmentation of the user while using images of the multiperson solution and by implementing an effective single-shot approach. So the idea they proposed used a CNN that is a convolutional neural network by training it to detect and classify the key points and accordingly give accurate results by studying the relative displacements and thus by clustering or identifying the group of different key points and studying the pose instances. Using single-scale inference, the model obtained a COCO[6] accuracy of the points of 0.665 and 0.687 using multiple level inference. Using part-based modelling. It depends on the key point level structure in order for training the real-time segmentation activity. In the future, there might be ways to overcome this limitation. 

 ADVANTAGES: 1. There are numerous applications available in the market which guide the user about the exercises to be performed. But through this application, we not only guide the user regarding which exercise to perform but also about the correct posture and counting the repetitions using computer vision. 2. Monitor the user in real-time keeping track of the quality repetitions of a particular exercise, thus keeping his form intact and correct throughout their workout. This will educate newbies about different exercise routines and their correct postures to prevent injuries. 3. The application also offers personalised health advice and nutrition ideas while keeping the daily calorie log in the database. 4. The application can not only be used by individuals at homes but by increasing the scope can be used in gyms as smart trainers thus reducing the human intervention. 5. Our main motive is to spread awareness about the importance of good health and fitness among common people.

LIMITATIONS: 1. The application can estimate the poses and count repetitions for a limited number of exercises as pose estimation using computer vision for some exercises and postures can be difficult. 2. The application is developed as a cross-web application and is not used as a mobile android/ios application. 3. The application cannot capture multiple people in the frame in the real-time system. 

. APPLICATION: The application can be used indoors at home or in the gyms to get pose detection and correction suggestions. It can also be used to keep the daily log of calories of each user and suggest changes and exercises accordingly. Apart from this, the application can be used to spread awareness about the different health-related government schemes and different health insurance-related information.

CONCLUSION AND FUTURE WORK: Nowadays our life is becoming busier and we hardly find time in our schedules to be healthy and fit and exercise daily. This has caused many diseases and health issues. Implementation of Artificial Intelligence in the field of fitness can solve many problems. The health-related applications and devices are making our lives easier and eases our fitness journey. Individuals can use this application in their own workouts, hence making them more efficient are less error-prone. In this process, we learnt how to use the OpenCV library and package and how the application of machine learning can be beneficial to humans. There is a lot of scope of development in this project. The project can be upgraded to support more exercises. A User interface can be added for easy navigation through the exercises. The data collected by the AI trainer can be saved and processed for the next sessions. Daily steps tracker can also be added. The trainer will suggest you workout plan and its intensity according to your body type and weight. This application can be developed into a complete android/ios application for ease of use. From the brief insight provided above, it shows that “AIbased workout assistant and fitness guide” uses some concepts of blaze pose, requires a camera to capture the body pose as input to the system generated and with the help of pose estimator, will provide the stats of calories burnt and exercise count as output in human-readable form. Future work may include the movement of the camera vertically and horizontally to capture another wide variety of exercises or it may include the use of multiple cameras to capture the body pose from various angles in order to feed the template of other exercises.