A MOBILE APPLICATION FOR PERSONALIZED DIET PLAN USING ARTIFICIAL INTELLIGENCE

Abstract

Despite the growing awareness of healthy eating habits, many individuals, especially college students, struggle to maintain a balanced diet due to a busy schedule filled with academic responsibilities and extracurricular activities. Due to the limited time for meal preparation, they may skip meals or opt for high-calorie and low-nutrition food choices. Thus, this GenZDiet mobile application leverages Artificial Intelligence (AI) to provide personalised diet plans tailored to individual health goals, dietary preferences, and nutritional needs. To evaluate its usability, a survey was conducted with 30 respondents aged between 18 and 24 years old using a Google form based on the Computer System Usability Questionnaire (CSUQ) framework. Key evaluation criteria include ease of use, clarity of information and security assurance, navigation and interface design, usefulness, and satisfaction. The findings indicated intense user satisfaction, with over 50% of respondents strongly agreeing that the app is intuitive and easy to navigate. Notably, 53.3% of respondents strongly agreed that the interface was user-friendly, and 50% respondents reported high satisfaction in meeting dietary expectations. However, minor improvements were identified, such as AI-driven recommendations, expanding the meal database, and refining the user interface. Overall, the study demonstrates that GenZDiet achieves a positive result and has potential as a practical tool for supporting healthier eating habits in the long term.