AI DIET CONSULTANT APPLICATION

Project Abstract

The accelerating global burden of nutritionally induced health problems, from obesity and other forms of malnutrition to increasingly common non communicable diseases, has created a strong impetus for better, more accessible dietary management solutions. Classic nutritional counseling is often non-scalable; many available digital applications provide general advice without real-time adaptivity or depth in personalization. This project addresses those gaps by designing and evaluating the AI Diet Consultant, an AI-based mobile application providing personalized meal plans, real-time nutritional information, BMI calculation, and interactive multilingual chatbot support. Following a Design Science Research methodology in combination with mixed methods, the application was developed using a Flutter frontend, a Django backend, and an intelligent core built with an Artificial Neural Network-ANN-for diet recommendations. Kaggle data and input from a local Ghanaian dietician underwent extensive preprocessing to build an accurate, relevant model. Some salient findings included a high validation accuracy of the ANN model at 89.8% for generating personalized diet suggestions, 100% accuracy for BMI calculation, and a working, friendly functional mobile interface with tight backend integration. This sets the architectural basis for multilingual support and makes it potentially applicable worldwide .This project significantly contributes to the field of personalized digital nutrition by offering a practical, scalable, and accessible solution poised to empower individuals in making healthier dietary choices and fostering sustainable well-being.

Research Area

Mobile App Development: Mobile App Development research in Computer Science and Information Technology focuses on the design, development, and optimization of software applications for mobile devices such as smartphones and tablets. This area covers a wide range of topics, including user interface design, cross-platform development, mobile operating systems, performance optimization, and security. One key aspect of research in this area is the development of efficient algorithms and frameworks that enable seamless cross-platform compatibility. Researchers explore ways to create apps that function smoothly on multiple operating systems, such as Android and iOS, using a single codebase, reducing development time and costs. This is often achieved through the use of frameworks like React Native, Flutter, and Xamarin. User experience (UX) and user interface (UI) design are critical components of mobile app development research. Scholars in this field investigate how to create intuitive, responsive, and engaging interfaces that improve usability and enhance the overall user experience. This includes studying interaction patterns, accessibility, and how users interact with mobile apps across different devices and environments.

Project Main Objective

• The main objective is develop an AI-powered mobile nutrition app that offers personalized meal plans, real-time nutritional insights, BMI analysis, and multilingual chatbot support to improve users’ dietary habits and overall health.

Academic Year

2024/2025

Date Uploaded

Jan 21, 2026

Group Members

ABERBA MILLICENT ACHEAMPONG NANA KUSI BOADU AKUMIA STANLEY AZUURE SAMUEL YEVU OPOKU EMMANUEL

Program Of Study

BSc Information Technology