The project of game development to educate about Egyptian civilization This is intended to be a game to promote learning about ancient Egyptian civilization. The original learning may feel boring. Do not attract the attention of learners Therefore saw the presentation in the form of a game on virtual reality technology that inserts knowledge history With the aim of making learning more interesting The organizers can choose to use Unreal Engine 5.1 (Unreal Engine 5.1) and Oculus Quest II (Oculus Quest2) to develop. Within the game, players must find a way to escape from this room within the specified period of solving puzzles in various forms such as statues, traps, etc. In order to solve puzzles and leave this room, players must collect all the information inside the room. In addition, the game shows the life of the player and when the player cannot solve the puzzle correctly.
อารยธรรมอียิปต์โบราณเป็นหนึ่งในอารยธรรมอันยิ่งใหญ่ของโลกยุคโบราณที่เป็นต้นกำเนิดของศาสตร์หลายๆแขนง ชาวอียิปต์โบราณถือเป็นนักสร้างสรรค์อารยธรรมทั้งด้านคณิตศาสตร์ และสถาปัตยกรรมอันโดดเด่น เพื่อศึกษาประวัติศาสตร์ซึ่งเป็นรากเหง้าของศาสตร์หลากหลายแขนงนั้นอาจต้องใช้เวลาและแหล่งข้อมูลจากหลายแหล่ง และมักจะเกิดความเบื่อหน่ายขึ้นได้ง่าย เพื่อที่ทำให้การศึกษาประวัติศาตร์เหล่านั้นไม่น่าเบื่อจนเกินไป ผู้จัดทำจึงได้นำเกมแนวไขปริศนาซึ่งสร้างขึ้นออกมาเป็นเสมือนกลไกในห้องลับเพื่อที่จะเสริมสร้างวิธีการแก้ไขปัญหาและได้ค้นหา เรียนรู้ประวัติศาสตร์ไปพร้อมๆกัน ผู้จัดทำเล็งเห็นว่าเทคโนโลยีความเป็นจริงเสมือน หรือ VR (Virtual Reality) สามารถดึงความสนุก และเพิ่มความน่าสนใจของตัวเกมจากผู้เล่นในการแก้ไขปริศนาเพื่อหาวัตถุโบราณและนำข้อมูลที่ได้พบนั้นมาตอบคำถามเพื่อเรียนรู้ประวัติศาสตร์ของอารยธรรมอียิปต์ได้เป็นอย่างดี
คณะวิศวกรรมศาสตร์
The integration of intelligent robotic systems into human-centric environments, such as laboratories, hospitals, and educational institutions, has become increasingly important due to the growing demand for accessible and context-aware assistants. However, current solutions often lack scalability—for instance, relying on specialized personnel to repeatedly answer the same questions as administrators for specific departments—and adaptability to dynamic environments that require real-time situational responses. This study introduces a novel framework for an interactive robotic assistant (Beckerle et al. , 2017) designed to assist during laboratory tours and mitigate the challenges posed by limited human resources in providing comprehensive information to visitors. The proposed system operates through multiple modes, including standby mode and recognition mode, to ensure seamless interaction and adaptability in various contexts. In standby mode, the robot signals readiness with a smiling face animation while patrolling predefined paths or conserving energy when stationary. Advanced obstacle detection ensures safe navigation in dynamic environments. Recognition mode activates through gestures or wake words, using advanced computer vision and real-time speech recognition to identify users. Facial recognition further classifies individuals as known or unknown, providing personalized greetings or context-specific guidance to enhance user engagement. The proposed robot and its 3D design are shown in Figure 1. In interactive mode, the system integrates advanced technologies, including advanced speech recognition (ASR Whisper), natural language processing (NLP), and a large language model Ollama 3.2 (LLM Predictor, 2025), to provide a user-friendly, context-aware, and adaptable experience. Motivated by the need to engage students and promote interest in the RAI department, which receives over 1,000 visitors annually, it addresses accessibility gaps where human staff may be unavailable. With wake word detection, face and gesture recognition, and LiDAR-based obstacle detection, the robot ensures seamless communication in English, alongside safe and efficient navigation. The Retrieval-Augmented Generation (RAG) human interaction system communicates with the mobile robot, built on ROS1 Noetic, using the MQTT protocol over Ethernet. It publishes navigation goals to the move_base module in ROS, which autonomously handles navigation and obstacle avoidance. A diagram is explained in Figure 2. The framework includes a robust back-end architecture utilizing a combination of MongoDB for information storage and retrieval and a RAG mechanism (Thüs et al., 2024) to process program curriculum information in the form of PDFs. This ensures that the robot provides accurate and contextually relevant answers to user queries. Furthermore, the inclusion of smiling face animations and text-to-speech (TTS BotNoi) enhanced user engagement metrics were derived through a combination of observational studies and surveys, which highlighted significant improvements in user satisfaction and accessibility. This paper also discusses capability to operate in dynamic environments and human-centric spaces. For example, handling interruptions while navigating during a mission. The modular design allows for easy integration of additional features, such as gesture recognition and hardware upgrades, ensuring long-term scalability. However, limitations such as the need for high initial setup costs and dependency on specific hardware configurations are acknowledged. Future work will focus on enhancing the system’s adaptability to diverse languages, expanding its use cases, and exploring collaborative interactions between multiple robots. In conclusion, the proposed interactive robotic assistant represents a significant step forward in bridging the gap between human needs and technological advancements. By combining cutting-edge AI technologies with practical hardware solutions, this work offers a scalable, efficient, and user-friendly system that enhances accessibility and user engagement in human-centric spaces.
คณะเทคโนโลยีการเกษตร
"Eco Mango Pack: Eco-friendly Packaging for a Sustainable Future" focuses on developing innovative packaging for Nam Dok Mai mangoes, considering fruit safety, shelf life, and environmental impact. The selected materials include a box made from coconut husk, and dry water hyacinth stems have been utilized as internal cushioning to enhance shock resistance. Additionally, dried coffee grounds are incorporated into the packaging to extend the mango's shelf life. The design also takes into account the needs of small-scale farmers, making the packaging suitable for community enterprise production and reducing production costs. This project aims to add value to Thai agricultural products, support the circular economy concept, and promote the use of environmentally friendly materials in the packaging industry.
คณะวิศวกรรมศาสตร์
This capstone project develops an AI-powered chatbot to address cybersecurity vulnerabilities, leveraging the Common Vulnerabilities and Exposures (CVE) system and the Common Vulnerability Scoring System (CVSS). The chatbot will provide accessible and informative support for understanding and mitigating these vulnerabilities, potentially leading to significant improvements in cybersecurity practices.