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@article{150808,
        author = {Divyanshu Kumar and Anthony Paul Joseph and Priyanka Subhash Junghare and Neha Raikwad and Arati khokale and Prof. Vijaya kamble},
        title = {Fitness Nama Using Python Language , MYSQL, SQLyog And Anaconda Software},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {10},
        pages = {26-29},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=150808},
        abstract = {Health problems associated with diet, including obesity and cancer, are important concerns within the current society. The main treatment for obesity includes dieting and frequent physical activity. Diet programs keep and cause weight loss over short, medium, or future . However, to take care of balanced body energy, a frequent workout is required. This paper presents SapoFitness, a mobile health application for a dietary evaluation and therefore the implementation of challenges, alerts, and constantly motivates the user to use the system and keep the diet plan. SapoFitness is customized to its user keeping a daily record of his/her food intake and daily exercise. The main goal of this application is to supply a motivation tool for weight reduction.
SapoFitness includes the ability to share personal achievements with social networks, a very intuitive human-device interaction and control weight, applying not only to control obesity but also to malnutrition problems. The application offers a continuous alert system activity, sending alerts/messages concerning the user diet program taking into account also his/her physical activity. SapoFitness may be a challenged mobile application that delivers the action to the user, motivating for a healthier life style.
Our system enables users without knowledge about nutrition to look easily for recipes with tongue to enhance specific health conditions. The tongue includes ‘I want to cure my acne’ and ‘I want to get over my fatigue’. We compared the results of our system to the results we obtained by calculating the nutrient information manually. Evaluation was done on 1000 dishes. We measured the effectiveness of the system using F-Measure and the average F-measure was 0.64 respectively. this paper presents an emergency alarm and healthcare management system, which is mainly deployed in an android-based phone that is conveniently used and carried. So our system is suitable for many of the people.
},
        keywords = {},
        month = {},
        }