A MOBILE BASED DIETICIAN CHATBOT

Student: Yusuf Yunus
Supervisor: Mr Bayyina Kankai Lawal
HOD: Mrs Muslimat Ajibade
Department of Computer Science
Science and Technology
Kaduna Polytechnic, Kaduna

Abstract

ABSTRACT Traditional methods of dietary guidance, such as consulting dietitians or using generic advice from books and websites, are often costly, time-consuming, and insufficiently personalized. As a result, individuals with unique nutritional needs may struggle to achieve their health and wellness goals. This study proposes the development of a mobile AI dietitian chatbot designed to provide tailored dietary support. By leveraging artificial intelligence, natural language processing, and machine learning algorithms, the application can analyze user preferences, health conditions, and lifestyle factors to deliver personalized dietary recommendations. It offers real-time nutritional information, customized meal plans, and ongoing motivational support to encourage adherence to healthy eating habits. The chatbot platform aims to be convenient, accessible, and cost-effective, enabling users to receive professional-quality dietary guidance without the limitations of traditional methods. Ultimately, this technology-driven solution seeks to enhance individual health outcomes and simplify diet management through a user-friendly, intelligent application.  

Full-Text Access Notice

In accordance with the NERD Policy on promoting peer-reviewed publication, public access to the full text of a project, thesis or dissertation is restricted for three years, allowing the author and supervisors sufficient time to pursue peer-reviewed publication. During this period, researchers with legitimate academic or research purposes may request authorisation directly from the author to enable NERD to release the indexed full texts of the work using the form below.

Request authorisation from the author