Shantou AI – AI Agent for Job Application
A Chrome extension was developed to automate job applications by auto-filling forms with high accuracy and integrating an AI agent to generate personalized responses aligned with job descriptions.
Projects
Robot AI Engineer: Dragon Dialogue Navigation Port on Stretch Robot
The Dragon dialogue navigation system was ported to ROS2 Python on the Stretch robot, integrating perception, planning, and dialogue modules to enable seamless voice-driven navigation and fetch commands.
MythoVerse AI – AI-Powered Video Storytelling
MythoVerse AI is an AI-powered storytelling platform that transforms text, images, and ideas into dynamic, high-quality videos with voiceovers, subtitles, and sound effects. Our text-to-video generator leverages advanced semantic understanding to produce engaging, visually compelling content effortlessly. With real-time AI-generated voiceovers and customizable scene editing, MythoVerse empowers creators to bring their stories, animations, and cinematic visions to life with minimal effort. Whether for anime, action sequences, cyberpunk aesthetics, or personalized narratives, MythoVerse AI redefines content creation by merging visual storytelling and AI-driven narration into a seamless, creative experience.
1Shan AI – Aesthetic Intelligence for Visual Content
1Shan AI is building an AI-powered platform that helps users design and retrieve custom clothing based on their aesthetic preferences. By leveraging image ranking, enhancement, and retrieval, our model personalizes the design process, making custom apparel more accessible and tailored to individual styles. We fine-tune a text-to-image generation model with reinforcement learning to ensure high-quality visuals that align with user preferences. This technology streamlines the custom fashion design process, making it easier to create unique outfits and explore new styles—whether for personal use or fashion e-commerce.
YOLO DeepSORT Waste Tracking and Counting
Effective object detection and tracking are critical for a wide range of applications, from industrial automation to environmental conservation. This project focuses on advancing these capabilities by developing algorithms that accurately track and count objects in video footage, as well as enhancing the performance of detection models. By leveraging state-of-the-art methods and optimizing model training, this work aims to improve object detection accuracy and efficiency in real-world scenarios.
Automated Codebase Modification with Large Language Model
Large Language Models are very powerful to debug and generate codes. However, users still need to have some programming knowledge and integrate these codes into the codebase to achieve certain purposes. To resolve this problem, my teammate and I tried to investigate the capability of LLM to change the codebase directly based on users' demands.
Keylogger with Large Language Model
Nowadays, the outputs generated by computer recording tools, such as keylogger, are voluminous and complicated. Authorized users often spend subtantial time and effort in extracting useful and comprehensive information from these output logs. To address this challenge, large language models, known for their robust text analysis capabilities, offer a promising solution to improve both quality and efficiency of data analysis. This project seeks to investigate the potential and efficacy of LLMs in optimizing the analysis of keylogger results, aiming to improve the overall effectiveness of interpreting and leveraging recorded data.
UR3 Robot Arms Tools Recognition and Handling in Collaborative Work Environments
UR3 Robot Arms have become increasingly used in various industries due to their versatility, ease of programming, and collaborative nature. Today, UR3 Robot Arms are widely used to assist human work, support laboratory automation, validate product designs, and ensure quality control in manufacturing processes. In this project, we explore one of the use cases of UR3 Robot Arms in assisting human work.