R-Food-Eat is a restaurant foodie and influencers matching platform designed for Hong Kong and other GBA markets. It aims to help restaurants find suitable foodies to increase marketing conversion and traffic. The platform offers powerful filtering features, including detailed foodie profiles, collaboration history, social media influence and brand alignment. It also helps foodies find suitable restaurants and manage tasks. The matching algorithm considers factors like cuisine preferences, location, dietary restrictions, budget range, popularity and personalisation. R-Food-Eat utilizes AI, data analysis, recommendation systems, NLP, image recognition, personalisation, and foodie preferences and reviews to enhance the matching process, and provide comprehensive services and accurate recommendations for both restaurants and foodies.
Miss Ho Wing-tung* (Alumna, College of Business, City University of Hong Kong)
Mr Cheng Hoi-chung (EF Brittin College , Manchester, UK)
* Person-in-charge
(Info based on the team's application form)
- CityU HK Tech 300 Seed Fund (2023)