College students are not sure where to eat when they have limited time, food allergy or lack of understanding of the restaurants options.
Our application will help students to decide which restaurant is the best fit under their preferences.
In order to optimize the restaurant recommendation by providing customers with the most suitable decision, our team has developed a solution which use AI technology. Our team will use machine learning to construct the recommendation system that learns from the customer’s past behavior and profile settings. Under customer profile settings, customer can input he or her dining preferences, such as favorite cuisine, food allergy, and past visit review. Besides customer profile, our service will also provide the second functionality as the search filter with different adjustable factors include geolocation distance, dining price and waiting time.
We don't have enough customer profile database. We haven't finished the code for the recommendation system.
This project can benefit the students in our school.
We compared many other food recommendation apps and learn the structure of them to improve our application.
We will finish the code project and test it with more data set.
Log in or sign up for Devpost to join the conversation.