Smart Campus Food Ordering and Recommendation System with Emotion Booster: A First Design

Abstract

A healthy food intake is necessary for every person to function to their optimum potential. Apart from keeping the body fit and full of energy, food is also known to boost people’s moods and ward off negative emotions. Typically, people order food, considering their budget, the time of the day as well as what they are craving. Consequently, this study proposes a system that can detect users’ moods depending on their facial expression and accordingly, recommends food that they usually order during that particular emotion or related food, to subsequently improve how they feel. The system keeps track of a user’s budget, the time of the day, the users’ current emotions, and provides recommendations with a view to boosting their mood through foods that they like or through foods that are scientifically proven to help improve their mood. The system is intertwined with a campus food ordering system specifically designed for on-campus food stalls in their respective hostels. This food ordering system allows us to get an insight into the student’s preferences and include them in our recommendations as well as providing a delivery system that allows students to save time from standing in queues usually during rush hour. The usability evaluation conducted to evaluate the system proved successful as all the users that evaluated the system provided positive feedback and most of the tasks assigned to them were satisfactorily completed.