Phúc Thịnh Nguyễn

Developed an intelligent chatbot using Retrieval-Augmented Generation (RAG) to provide accurate and context-aware answers from diverse uploaded data sources. This project focused on leveraging advanced NLP techniques to enhance information retrieval and user interaction.

Programmed a smart robot based on RAG systems that interacts with users through voice and facial recognition. Equipped with call functions and autonomous movement, it assists users in daily life and controls smart home devices, also serving as a programming education tool.

Developed a project focused on pet health management, utilizing AI to analyze pet health based on test results. This involved applying machine learning and computer vision techniques for diagnostic support and image analysis.

Developed a project focused on optimizing timetable scheduling and integrating an AI chatbot to enhance consultation support services at the University of Science and Technology. This involved leveraging AI for improved university operations and student assistance.

Implemented a vehicle supervision system using the YOLO object training model to detect license plates. Utilized the Paddle OCR library to accurately extract characters and numbers from the detected license plates, enhancing port security.

Grade: 3.13/4.0

Studied Control Engineering and Automation, gaining a strong foundation in data processing, machine learning, deep learning, natural language processing (NLP), computer vision, and large language models (LLMs). Achieved a GPA of 3.13/4.0.