TeaJourney: Personalized Tea Pairing and LLM-Based Chatbot

Background

Period: Jul. 2022 – Dec. 2023

Introduction

S

Collaborated with the NCCU USR program and local tea farmers in Muzha to support regional revitalization and address the marketing challenges faced by traditional tea businesses.

T

Designed a new tea recommendation and interaction system by integrating the Taiwan Tea Flavor Wheel with GenAI to appeal to younger audiences.

A

Led a 5-member team in product design and project management

Built a Siamese Network model in PyTorch for tea recommendation

Developed a RAG-powered chatbot using LangChain

Implemented backend APIs with Python FastAPI

Conducted literature review on tea sensory evaluation and prepared competition materials

R

Awarded Excellent Work – ICT Awards 2023

Placed 3rd in the NCCU Capstone Demo Day

Showcased to the Taipei Agricultural Bureau, engaging 500+ users.

Background

Introduction

S

T

A

R

留言