HSB - Student Reports (FYP/ESSAY) : [6]

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Collection's Items (Sorted by Submit Date in Descending order): 1 to 6 of 6
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  • Final Year Project (FYP)


  • Authors: Dao, Thu Tam;  Advisor: Trương, Công Đoàn (2025)

  • Nowadays, along with the rapid development of the economy and society, people’s travel needs are increasing. In that context, vehicle rental services are becoming a potential field and receiving great attention from individuals and businesses. Not only bringing convenience, this model also contributes to reducing vehicle ownership costs, optimizing vehicle use, and protecting the environment. The topic "Car rental system management website" was chosen to research and build a technological solution to support the management and operation of vehicle rental services effectively. This system not only helps improve user experience but also supports businesses in data management, re...

  • item.jpg
  • Final Year Project (FYP)


  • Authors: Nguyen, Duc Dat;  Advisor: Trương, Công Đoàn (2024)

  • Nowadays, there are many popular websites for selling or ordering such as Shoppe, Lazada, Pizza Hut, ... and many other websites that have purchased and managed sales on online platforms. Based on this problem, I have built a project that integrates different payment methods to help users buy more easily. The seller will manage costs better and can count the number of customers and analyze their cash flow. The core function of the website will be divided into two main parts. The admin side will manage orders, manage dishes and receive order information and management then the admin can arrange to receive table reservations from the user side and can view and analyze the amoun...

  • item.jpg
  • Final Year Project (FYP)


  • Authors: Vu, Hong Khanh;  Advisor: Trương, Công Đoàn (2025)

  • The purpose of the project is to apply machine learning techniques for sentiment analysis of customer feedback related to KFC restaurants. In an era of rapid technological advancement, understanding customer sentiment is crucial for enhancing service quality and maintaining competitive advantage in the fast-food industry. We collected a comprehensive dataset of customer reviews from various online platforms, which were then preprocessed to remove noise and standardize the text. Sentiment analysis plays an essential role in helping business owners gain a better understanding of their customers’ perspectives on their products and services by examining customer feedback to improv...

  • item.jpg
  • Final Year Project (FYP)


  • Authors: Tran, Hai An;  Advisor: Nguyen, Thanh Tùng (2025)

  • Develop a sophisticated and user-friendly sales website. Integrate GPT Chat to set up an online support system and product recommendations, increasing customer interaction and satisfaction. Equip administrators with comprehensive management tools, allowing efficient tracking of products, categories, orders and customer interactions. Enhance user experience by leveraging modern technologies, ensuring the website meets the changing needs of the market.

  • item.jpg
  • Final Year Project (FYP)


  • Authors: Nguyen, Toan Thang;  Advisor: Nguyen, Thanh Tùng (2025)

  • Survey current fitness centers to establish essential requirements. Propose and construct a modernized system that is compatible with the old system's operations, based on applicable theories. Developed and programmed a fitness facility management website based on survey results, system analysis, and design.

  • item.jpg
  • Final Year Project (FYP)


  • Authors: Pham, Thanh Trương;  Advisor: Chu, Đình Tới (2025)

  • Comprehensive Evaluation of Deep Learning Models This objective involves a rigorous comparison of three state-of-the-art object detection frameworks— YOLOv8, YOLOv9, and YOLOv10—to assess their performance in knee OA detection. The models will be trained and tested on identical datasets to ensure fairness, and their performance will be evaluated based on critical metrics such as mean Average Precision (mAP), precision, recall, and inference speed. The goal is to identify the model that offers the best balance between accuracy and computational efficiency, addressing the nuanced requirements of clinical diagnostics. Optimization of the Superior Model Following the identificatio...

Collection's Items (Sorted by Submit Date in Descending order): 1 to 6 of 6

HSB - Student Reports (FYP/ESSAY) : [6]

Follow this collection to receive daily e-mail notification of new additions
Collection's Items (Sorted by Submit Date in Descending order): 1 to 6 of 6
  • item.jpg
  • Final Year Project (FYP)


  • Authors: Dao, Thu Tam;  Advisor: Trương, Công Đoàn (2025)

  • Nowadays, along with the rapid development of the economy and society, people’s travel needs are increasing. In that context, vehicle rental services are becoming a potential field and receiving great attention from individuals and businesses. Not only bringing convenience, this model also contributes to reducing vehicle ownership costs, optimizing vehicle use, and protecting the environment. The topic "Car rental system management website" was chosen to research and build a technological solution to support the management and operation of vehicle rental services effectively. This system not only helps improve user experience but also supports businesses in data management, re...

  • item.jpg
  • Final Year Project (FYP)


  • Authors: Nguyen, Duc Dat;  Advisor: Trương, Công Đoàn (2024)

  • Nowadays, there are many popular websites for selling or ordering such as Shoppe, Lazada, Pizza Hut, ... and many other websites that have purchased and managed sales on online platforms. Based on this problem, I have built a project that integrates different payment methods to help users buy more easily. The seller will manage costs better and can count the number of customers and analyze their cash flow. The core function of the website will be divided into two main parts. The admin side will manage orders, manage dishes and receive order information and management then the admin can arrange to receive table reservations from the user side and can view and analyze the amoun...

  • item.jpg
  • Final Year Project (FYP)


  • Authors: Vu, Hong Khanh;  Advisor: Trương, Công Đoàn (2025)

  • The purpose of the project is to apply machine learning techniques for sentiment analysis of customer feedback related to KFC restaurants. In an era of rapid technological advancement, understanding customer sentiment is crucial for enhancing service quality and maintaining competitive advantage in the fast-food industry. We collected a comprehensive dataset of customer reviews from various online platforms, which were then preprocessed to remove noise and standardize the text. Sentiment analysis plays an essential role in helping business owners gain a better understanding of their customers’ perspectives on their products and services by examining customer feedback to improv...

  • item.jpg
  • Final Year Project (FYP)


  • Authors: Tran, Hai An;  Advisor: Nguyen, Thanh Tùng (2025)

  • Develop a sophisticated and user-friendly sales website. Integrate GPT Chat to set up an online support system and product recommendations, increasing customer interaction and satisfaction. Equip administrators with comprehensive management tools, allowing efficient tracking of products, categories, orders and customer interactions. Enhance user experience by leveraging modern technologies, ensuring the website meets the changing needs of the market.

  • item.jpg
  • Final Year Project (FYP)


  • Authors: Nguyen, Toan Thang;  Advisor: Nguyen, Thanh Tùng (2025)

  • Survey current fitness centers to establish essential requirements. Propose and construct a modernized system that is compatible with the old system's operations, based on applicable theories. Developed and programmed a fitness facility management website based on survey results, system analysis, and design.

  • item.jpg
  • Final Year Project (FYP)


  • Authors: Pham, Thanh Trương;  Advisor: Chu, Đình Tới (2025)

  • Comprehensive Evaluation of Deep Learning Models This objective involves a rigorous comparison of three state-of-the-art object detection frameworks— YOLOv8, YOLOv9, and YOLOv10—to assess their performance in knee OA detection. The models will be trained and tested on identical datasets to ensure fairness, and their performance will be evaluated based on critical metrics such as mean Average Precision (mAP), precision, recall, and inference speed. The goal is to identify the model that offers the best balance between accuracy and computational efficiency, addressing the nuanced requirements of clinical diagnostics. Optimization of the Superior Model Following the identificatio...

Collection's Items (Sorted by Submit Date in Descending order): 1 to 6 of 6