Health Monitoring System Based on Diet Evaluation
Manasi Patil, Archana Kale, Vaidehi Patel, Rohit Dhanorkar, Dipak Patil
Speech Recognition, Natural Language Processing, KNN, Mobile computing
Today every second person is detected with some disease. This disease ranges from Asthma to Obesity. Diseases (in terms of severity and chronicity) are directly proportional to medical cost. As a result, diet and physical activities are considered as the most important lifestyle factor for self-managing and preventing many chronic diseases. An effective solution for nutrition assessment is necessary. In this paper we have discussed the implementation of a health monitoring system based on diet evaluation. Firstly, a mobile application is built through which daily diet intake in the form of voice is recorded using natural language processing along with few processing techniques such as preferred food survey, speech recognition and mobile computing. Based on the food intake, a healthy weekly diet is suggested depending on the target calories consumed. It has an excellent performance in machine learning problem.
Article Details
Unique Paper ID: 149802

Publication Volume & Issue: Volume 7, Issue 1

Page(s): 664 - 672
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Volume 8 Issue 4

Last Date 25 September 2021

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