Foodtell

Foodtell

Discover mall dining with AI-powered food suggestions and reviews.

Team 44



Team Members

1008185 Nurul Hidayah Bte Mohamad Azmi

1008126 Ong Wei Yang

1008462 Lydia Rachel Robert

1008459 Anbarasan Srivarthini

1008162 Skipper Zhen-He Smahon

1008077 Bennett Boey

1008266 Lim Xuan Qing

Description

Foodtell is a mobile application designed to enhance the food discovery experience in malls by helping users locate restaurants, share reviews, and receive AI-powered dining suggestions through our chatbot, Telly. It addresses the lack of clear, accessible information on food options and waiting times within shopping centers.

Targeted at working adults, families, and tourists, Foodtell emphasizes user-friendliness and accessibility. Its intuitive interface includes key pages such as Sign In, Home, Telly, Upload, Hot, and Profile to ensure a smooth and engaging user journey.

On the technical side, the app uses Firebase as the backend database and integrates with AWS Lambda and Bedrock for efficient serverless data processing. It incorporates data structures and algorithms like Merge Sort and Quick Sort, along with OOP principles such as abstract classes and clean architectural design for scalability.

While the core application was developed in Java, Python is used for AWS Lambda functions to ensure fast and efficient execution.

Foodtell brings intelligent, stress-free food discovery to your fingertips—just ask Telly!

Poster