In this project, I built a meal keeper mobile app concept to assist students who are frustrated by their inability to save money because of excessive spending on dining out.
The design thinking process helped to keep organized and focused
After conducting qualitative research about potential user’s eating habits, meal routines, and relationships with food, user stories were created.
A first iteration of wire frames were created. In the final wire frames, some details were changed based on feedback from users during interviews.
When users have uploaded their recipes, the AI aspect will tailor the recipe’s based on user preferences they have set. For example, if a meal is too costly, the ingredients can be replaced with a simpler and cheaper option. Or if the user would like to add meat to their meal a suggestion can be given.
Three meals are automatically suggested to the user, but they have the option to expand their recipe options if the suggestions aren’t good enough.
No matter what time users go to the grocery store, chatbot support will be available 24/7. Users can get help with quick ingredient substitutions and alternate meal suggestions.