Showcasing a New Wave of Digital Engineers: Graduation Projects from Van Lang University’s IT Students of Class 27

On June 20 and 21, 2025, the Faculty of Information Technology at Van Lang University (VLU) held the graduation thesis defense for students of Class 27. More than 60 projects were presented that covered a wide range of topics, including web and mobile application development, management systems, educational solutions, as well as applied models in Artificial Intelligence (AI), Machine Learning (ML), the Internet of Things (IoT), and cybersecurity. Notable projects included: the VLUStudyPlus learning management system, the TeamUp collaboration platform, a house price prediction model using machine learning, an early fire warning system integrated with IoT, an AI camera-based attendance system, and so on.

In his general assessment, Dr. Nguyen Truong Khang, Chairman of the Evaluation Committee, recognized the overall quality of this year’s projects as consistent across key criteria: project implementation process, logical system design, and practical feasibility. The final products demonstrated not only solid technical expertise but also students’ proactive efforts to address real-world needs from society, businesses, and communities.

Web and mobile application development remained a dominant category, reflecting the growing demand for digital transformation. Outstanding examples included: a medical support website for patients, the TeamUp platform that promotes teamwork skills among Van Lang University students, a personal finance management web application, etc.

Among them, the project VLUStudyPlus by Luu Thi Thuy Trang and Le Tran Thai Tam received high praise for its applicability. The software supports students in tracking academic progress, receiving departmental notifications, and issuing early warnings based on data analysis. The committee noted that this model has strong potential for internal deployment, directly benefiting the entire student body.

Another project that garnered attention was “Designing an Early Fire Warning System Using IoT” by student Nguyen Duc Thang. The system employs sensors to detect early signs of fire and transmits alerts through a mobile application. It was deemed highly feasible and suitable for implementation in residential areas, buildings, or factories.

The diversity of topics, practical orientation of the products, and the students’ technological proficiency all highlight how IT students of Class 27 have successfully addressed both technical and societal demands in their projects. These graduates have demonstrated strong problem-solving capabilities and, most importantly, a readiness to implement real-world solutions.

News: Hong Thanh
Photos: Trung Quan