AI DIETICIAN


Student Name: Durga Venkata Suraj Tedla
Defense Date:
Location: Zoom Defense, please email jgrisafe@ku.edu for defense link.
Chair: David Johnson

Prasad Kulkarni

Jennifer Lohoefener

Abstract:

The artificially intelligent Dietician Web application is an innovative piece of technology that makes use of artificial intelligence to offer individualised nutritional guidance and assistance. This web application uses advanced machine learning algorithms and natural language processing to provide users with individualized nutritional advice and assistance in meal planning. Users who are interested in improving their eating habits can benefit from this bot. The system collects relevant data about users' dietary choices, as well as information about calories, and provides insights into body mass index (BMI) and basal metabolic rate (BMR) through interactive conversations, resulting in tailored recommendations. To enhance its capacity for prediction, a number of classification methods, including naive Bayes, neural networks, random forests, and support vector machines, were utilised and evaluated. Following an exhaustive analysis, the model that proved to be the most effective random forest is selected for the purpose of incorporating it into the development of the artificial intelligence Dietician Web application. The purpose of this study is to emphasise the significance of the artificial intelligence Dietician Web application as a versatile and intelligent instrument that encourages the adoption of healthy eating habits and empowers users to make intelligent decisions regarding their dietary requirements.

Degree: MS Project Defense (CS)
Degree Type: MS Project Defense
Degree Field: Computer Science