The thesis presents the development of the user interface prototype for the ÑamÑam mobile application, aimed at generating personalized recipes using artificial intelligence. The app addresses common modern-day problems such as lack of time, uncertainty about ingredients, and the need for affordable meal solutions. Users can photograph their fridge contents, and the app suggests recipes based on available ingredients, time, budget, and kitchen tools. It also supports community sharing, videos, and meal planning.
The theoretical part discusses eating habits, the influence of lifestyle on nutrition, and the role of digital solutions. It explains key concepts such as user experience (UX), user interface (UI), mobile applications, design thinking, wireframes, and usability testing. Special attention is given to the role of artificial intelligence in mobile apps and its use in food-related applications.
In the experimental part, a competitive analysis was conducted, followed by a user survey and the creation of four user personas. Based on the findings, the app’s information architecture was developed, along with visual elements and both low- and high-fidelity wireframes. An interactive prototype was created and tested with users. The feedback enabled improvements in usability, visual clarity, and overall functionality.
ÑamÑam successfully combines modern technology with user-centered design. Results confirm that the app is functional, intuitive, and visually appealing, effectively addressing users’ needs and validating the goals of the thesis.
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