City University of Hong Kong | Hong Kong
Suhas YOGISH | Revanth BANALA NITHYANANDAM | Akash MALHOTRA | Jayant HARILELA
With so many food options available in market today, deciding where to eat can be a hard decision. Moreover, the customization level of the existing food recommendation systems is not adequate. DineOut is a highly personalized food recommending smart chat-bot which would automate the process of finding new avenues to eat out and which can also help explore the user to explore the recipes of new dishes online, based on the past preferences of the user. Further, chat bot would be able estimate the calorific value, and other health related features, of the prospective food items, so that users can make healthy food choices. The chat-bot plays an important role in understanding the main problems faced by people when searching for food, and rectifying these problems for a much more convenient user experience. Through the deep learning convolutional model, we can analyze all the food data and find variables meaningful to the end user.