Cooking assistant with nutritional tracking app

Ngang, Chi Khim (2025) Cooking assistant with nutritional tracking app. Final Year Project, UTAR.

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Abstract

This project will develop a mobile application to address the need for accessible nutritional tracking and convenient cooking guidance. This project integrates computer vision and machine learning techniques into the mobile app. The problem lies in the complexity of maintaining a balanced diet while juggling busy lifestyles, with the challenge of accurately tracking nutritional intake. The technique and methodology adopted include the computer vision and convolutional neural network (CNNs) for ingredient recognition from user captured images. Moreover, creating the interface using Figma. In conclusion, this project demonstrates how artificial intelligence driven solutions may simplify meal preparation and encourage healthier eating habits. The app's ability to integrate nutritional tracking, ingredient recognition, ingredient management and voice-assisted cooking advice onto a single platform is a creative way to tackle contemporary dietary issues.

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