Speak4diet: A Mobile App For Monitoring Dietary Composition

Also Available Domains Machine Learning|Data Science

Project Code :TCMAAN73

Abstract

Speak4Diet: A Mobile App for Monitoring Dietary Composition

Abstract:-

Good nutrition is an important part of leading a healthy lifestyle. Combined with physical activity, your diet can help you to reach and maintain a healthy weight, reduce your risk of chronic diseases (like heart disease and cancer), and promote your overall health. Mobile sensors such as accelerometers have been used to measure physical activity or detect eating time. Voice based mobile nutrition monitoring system that devises speech processing, natural language processing (NLP), and text mining techniques in a unified platform to facilitate nutrition monitoring. After converting the spoken data  to  text,  nutrition specific  data are  identified  within  the  text  using  an  NLP based approach that combines standard NLP with our introduced pattern mapping technique. We then develop a tiered matching algorithm to search the food name in our nutrition database and accurately compute calorie intake values.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

12/7 Support, Voice Conference, Video On Demand, Remote Connectivity, Customization, Live Chat Support, Toll Free Support

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