
Projects

AiMeiMei
AiMeiMei is a two-part intelligent photo assistant toolkit designed to enhance both the image capturing and image editing experience using advanced AI models. Built with Python and optimized for GPU environments, this suite is ideal for photography learners, tourists, and content creators seeking smart feedback and editing tools.

DashGuard
DashGuard is an AI-powered system developed as part of my capstone R&D project during my Master’s studies at NUS. It monitors customer exits and detects unpaid departures without relying on physical gates or alarm gantries. The system tracks individual and group movement using lightweight detection and re-identification models, while analyzing diner behavior to dynamically form groups based on seating, entry timing, and social interactions. It then maps group IDs to order IDs by integrating with POS systems or through gesture and action recognition at cashier zones. Finally, unpaid exits are flagged in real time using intelligent zone detection and behavioral logic, making DashGuard a seamless and efficient solution for modern dining environments.

One Stop Shop
This project was completed as part of my first Master’s class at NUS, an introductory AI course with a strong focus on machine learning, in collaboration with a team of four. It is a unified job-seeking platform built on Streamlit and microservices that integrates multiple AI-driven tools. The system features a job recommender that matches opportunities to user preferences, an LLM-powered cover letter and resume generator, a knowledge-based learning resource recommender to bridge skill gaps, and an interactive behavioral interview chatbot for mock practice with real-time feedback. By combining recommendation systems, knowledge-based reasoning, and prompt-engineered large language models, the platform streamlines the process of finding and preparing for suitable jobs in a timely and effective way.


