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Browsing by Author "Rana Muhammad Sobaan"

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    (Library Information Services, COMSATS University Islamabad, Lahore Campus., 2022-11-20) Rana Muhammad Sobaan; FA18-BCS-038; Muhammad Shahid Bhatti
    People are becoming fitness and health conscious in a rapidly changing world. The recent Corona pandemic was a challenge for people to maintain their fitness since they could not go out to fitness centers, trainers, nutritionists, and doctors. People also developed a lot of health issues due to a lack of suitable nutrition diet and physical exercises routine. The corona pandemic situation may be controlled now, but the strong impact it left has damaged the routines and schedules of a lot of people, making a balanced diet and exercise difficult for them. Experiencing all this around us, we have decided to make a Fitness Application to contribute to society and efficiently help people around the globe by providing them with factual nutrition and exercise schedules. Our application will consist of a user-friendly web-based interface for a smooth experience. The users will register their accounts and get logged in. They will encounter some input fields for the questionnaire, primarily responsible for collecting relevant information from the users. The datasets for nutrition and exercises with required features are collected and used with suitable machine learning algorithms for better results. A trained and tested model will take input parameters, and the goal could be weight gain, weight loss, or improving health issues. This model based on these parameters and the user’s goal will provide suitable diet/nutrition and exercise schedules. Moreover, it will keep a record of users' progress and appreciate them if they are following their schedules appropriately, motivate them if they are lacking a bit somewhere, and also alarms them with any expected health issues if they do not follow the recommended schedule

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