Foody is an AI Platform that’s built to provide foodies with hyper-personalised recommendations based on their personal preferences and the preferences of their community.
Ying Xu
Cai Yutong
Grace Kong
Dominic Quah
Our main motivation for the problem was that members of our team had poor personal experiences visiting restaurants that were highly rated on traditional review platforms. This could be due to a variety of reasons such as reviews made by bots or paid biased reviews. The members of Team Foody are all passionate about the food technology space and we wanted to build our own application to deal with the lack of trustworthiness in review sites.
It is also important to recognise the market opportunity of such an application. The rapid growth of AI technology has presented countless opportunities for disruptive innovation within the Food technology space, which was worth 34.86B USD in 2024.
Passion and opportunity are in the roots of our E-capstone project, and over the course of the past year, we’ve grown in technical capability, and we hope that the quality of the prototype does justice to the effort we’ve put into Foody.
To validate our idea we conducted 2 exercises, here are the results and key learnings
User Survey (76 respondents):
User Interviews (28 Interviewees):
Our solution’s value proposition is that the recommendations provided are free from advertisements and paid marketing, which currently reduces the accuracy of review platforms. By using a user’s community generated reviews to generate new recommendations, recommendations are more personalised and authentic. We believe this would make the system more trustworthy, thereby solving our key problem of expectation differences and subjectivity.
In our research, we found that recommendations from a friend are more likely to be accurate, and we wanted to incorporate this idea into our solution.
We developed a novel recommendation system that leverages AI to deliver hyper-personalised recommendations. For the techies out there, we used a mixture of semantic search, multi-vector search and RAG architecture to design this feature
We stripped down our review feature to only include the crucial components, as compared to other review platforms, reducing friction for users
Not only can you find new exciting places to eat, you can also reserve a table at these restaurants. We are currently prototyping a reservation feature, enabling users to go from recommendation to experience as seamlessly as possible.
We launched Foody officially on the 9th of April, at Echo, an up and coming Cafe in the Central Business District (CBD) of Singapore. Over 100 early users attended. We were able to put the application in their hands, garner feedback and better understand user behaviour.
Vote for our project at the exhibition! Your support is vital in recognizing our creativity. Join us in celebrating innovation and contributing to our success. Thank you for being part of our journey!
At Singapore University of Technology and Design (SUTD), we believe that the power of design roots from the understanding of human experiences and needs, to create for innovation that enhances and transforms the way we live. This is why we develop a multi-disciplinary curriculum delivered v ia a hands-on, collaborative learning pedagogy and environment that concludes in a Capstone project.
The Capstone project is a collaboration between companies and senior-year students. Students of different majors come together to work in teams and contribute their technology and design expertise to solve real-world challenges faced by companies. The Capstone project will culminate with a design showcase, unveiling the innovative solutions from the graduating cohort.
The Capstone Design Showcase is held annually to celebrate the success of our graduating students and their enthralling multi-disciplinary projects they have developed.