Finance Care
Many young professionals struggle to manage personal debts due to limited financial literacy and the lack of actionable planning tools. "Finance Care" directly addresses this by offering automated OCR transaction tracking and interactive repayment simulators (highlighting Snowball and Avalanche methods). Tailored for individuals managing multiple liabilities, the app calculates and visualizes the fastest, most cost-effective strategies to become debt-free. Furthermore, a built-in Job Suggestion engine connects users with freelance opportunities to actively increase their repayment capacity. Ultimately, the platform empowers users to systematically accelerate debt clearance and build sustainable financial stability
Online Job Search Platform for University Students (Job Spark)
The internship and job-finding system for students at King Mongkut’s University of Technology Thonburi was developed to address the challenges of complex and unstructured job searching. Existing job information is scattered across multiple sources, often incomplete, and lacks a clear application tracking process, causing students to spend considerable time manually filtering opportunities. The proposed solution is a mobile application equipped with swipe-based interaction for quick job exploration, advanced filtering by major, skills, and location, personalized job recommendations, an end-to-end application process, and real-time application status tracking. Companies can also create profiles, post job openings, and manage applications within the same system. The expected outcomes include improving students’ access to relevant opportunities, enhancing job search efficiency, reducing data redundancy, and increasing the effectiveness of matching students with potential employers.
Career Path Analysis and Recommendation System for Information Technology (IT) Students
SYNK is designed for Information Technology students who are preparing for internships and seeking to identify career paths that align with their interests and strengths, addressing common challenges such as limited self-awareness and fragmented access to reliable information by providing an integrated platform that supports career exploration and decision-making through key features, including Swipe Career Paths, which allows users to explore IT roles through interactive swiping and applies AI analysis to identify suitable career directions, Internship Reviews, which offers access to real experiences shared by students to help users better understand job roles, expectations, and working environments, and Internship Matching, which connects users’ profiles with relevant internship opportunities based on their interests and strengths, enabling them to discover positions that best fit their potential and support more confident and informed career decisions.
Craftify - Minecraft Webstore Management
Minecraft is currently one of the most popular online games worldwide, especially among players who enjoy creativity, exploration, and multiplayer experiences through servers. Players can join various servers operated by different providers. One of the key systems for managing and developing these servers is an online shop system, which is used to sell in-game items, privileges, or packages. This system helps support server maintenance costs and generates revenue for server owners.
Platform for Presenting and Developing Ideas into Projects for Students
PloiKhong is an innovative collaboration platform designed to bridge the gap between student ideation and practical project execution. By providing a structured ecosystem, it allows students to tackle real-world challenges within thematic spaces, propose creative solutions, and seamlessly transform their best ideas into actionable projects. With built-in task management tools and a skill-based team recommendation system, PloiKhong empowers the next generation of innovators to systematically build, collaborate, and bring their visions to life.
Tractify (Dorm Parcel Management System)
Tractify is a website designed to enhance and streamline parcel management within dormitories, developed to accommodate the continuously increasing volume of online shopping. The system replaces traditional record-keeping with a digital platform, ensuring that residents are promptly notified when their packages arrive, while also reducing staff workload and enabling clear, organized, and efficient tracking and management of all incoming parcels.
Development of an Online Platform for Digital Product Marketplace for Developers
AIVANA is an AI-assisted digital product e-commerce platform that helps sellers improve product listings by analyzing product data and generating optimized content. Sellers can upload materials such as ZIP files containing product assets, select a category, and provide keywords for analysis. The platform allows users to search and interact using natural language, making the system more intuitive and user-friendly.
Web application for recording personal stories
AiMi is a personal journaling web application designed for users who want a creative space to capture their thoughts, feelings, and everyday moments. Users can freely arrange text boxes, stickers, and photos on customizable boards to create something uniquely theirs. With streak tracking, monthly memory summaries, a coin-based reward shop, and real-time collaboration, AiMi makes journaling a fun and consistent daily habit.
Personalized Pet Health Platform for Recording, Tracking, Notification, and AI Care Planning
Pawmi is developed as a comprehensive pet care platform that streamlines the management of pet health, daily routines, and collaborative caregiving. The application integrates key functionalities such as intelligent reminder systems, shared access for co-caregivers, and structured pet profile management into a unified experience. By centralizing critical information and enabling seamless coordination among users, Pawmi supports more efficient decision-making and promotes consistent, high-quality care for pets.
Comparative Study for Course Recommendation System
This study addresses challenges in elective course selection among Information Technology students at KMUTT. Misalignment between chosen electives and decrease the risk of delayed graduation. we compare model-based and memory-based collaborative filtering approaches to identify an effective method for course recommendation . Using students’ academic histories, including their previously completed courses and grades, we evaluate each model’s accuracy and relevance in predicting suitable electives Our findings inform decision-support tools that assist students in making informed elective course selection Experimental results demonstrate that SVD achieves a strong balance across all evaluation metrics, attaining a QWK of 0.7029, an RMSE of 0.5567, and an adjusted accuracy of 82.63%, while maintaining a notably efficient training time of 0.1241 seconds the lowest among all evaluated models. Although SVD++ yields marginally superior predictive performance under certain parameter configurations, its substantially higher computational cost renders it less practical for deployment in real-world academic advising systems. Consequently, SVD is recommended as the most suitable model, offering a compelling trade off between predictive performance and computational efficiency based on their past academic performance helping them choose appropriate course. To ensure a rigorous evaluation that is highly suitable for ordinal grade data, we utilize the Quadratic Weighted Kappa (QWK) metric.
Intelligent Memorization and Learning System
Memopus is an intelligent memorization and learning system designed to address modern learning challenges such as information overload, limited study time, and the lack of effective review tools. The system integrates key learning concepts including spaced repetition, active recall, and gamification to improve long-term memory retention and learner motivation. It is developed as a web application featuring flashcard creation, progress tracking, reminder notifications, daily goals, and AI-powered content summarization and flashcard generation. The results show that Memopus effectively supports learners in planning review schedules, enhances learning consistency, and promotes both self-directed and collaborative learning.
Chat2Date
Chat2Date is a mobile dating application designed to seamlessly bridge the gap between online matching and real-life meetups. By combining advanced travelstyle, lifestyle, interest, matching, real-time GPS proximity, and interactive AI-generated games, the app enables users to build meaningful connections and fill a unique Relationship Bar. Prioritizing user trust and security, Chat2Date enhances the dating experience, mitigates online risks, and provides peace of mind through Face Liveness Detection and Thai ID verification. Through its integrated dating feature, the platform not only recommends nearby date spots and simplifies appointment scheduling but also ensures ongoing safety via an SOS emergency button and behavior scoring system.
Intelligent Travel Planning and Recommendation Platform (YakTeaw)
YakTeaw is an AI-powered travel planning and recommendation platform designed to simplify the way people plan their trips. The platform helps users create personalized itineraries based on their destination, budget, travel style, and trip duration. By combining intelligent recommendations, community reviews, ratings, and social insights, YakTeaw allows users to discover places more efficiently and make better travel decisions. With its user-friendly experience and AI-driven features, the platform reduces planning time and provides a more seamless and personalized journey.
Professor Meow - Application for Monitoring Cat Eating Behavior with Smart Bowl
Professor Meow is an IoT-based application designed to monitor cats’ eating habits through a smart bowl. The system collects and analyzes data such as meal times, portion sizes, and feeding frequency of cats to help owners understand and manage their cats’ eating behavior more effectively. This systematic tracking helps identify abnormal eating patterns, which may serve as early indicators or signs of health issues such as obesity, malnutrition, or digestive problems.
Collaborative Elderly & Patient Care Management System on LINE Platform
HUANGYAI is developed on the LINE platform to address challenges in collaborative elderly and patient care, where multiple caregivers often face issues such as miscommunication, missed appointments, and scattered information. The system provides a centralized solution for managing schedules, medication, and essential care data, allowing all members to access and update information in real time with role-based notifications to reduce errors. It also supports a backoffice system for administrators to manage data, control access permissions, and monitor system usage, ensuring security and operational efficiency.
KMALL – KMUTT Marketplace for Students
Students at KMUTT frequently utilize general communication platforms for commerce; however, these lack structured transaction support, leading to inefficient product management and order tracking. This study presents KMALL, a centralized web-based marketplace specifically designed for the university community. The platform integrates essential features, including secure authentication, streamlined order management, and real-time communication. By providing a structured ecosystem, KMALL enhances organizational efficiency and fosters entrepreneurial development among students.
Grocery Store Management System (DIBDEE)
DIBDEE is an AI-driven Order Management System integrated with a LINE Bot, designed to automate sales processes and reduce manual workload. The system intelligently converts customer chat messages into structured orders in real time, improving speed and accuracy. It also includes a Credit Limit and Overdue Monitoring feature to help businesses control financial risk and manage outstanding payments effectively. In addition, DIBDEE provides real-time inventory management with support for complex packaging units, ensuring accurate stock tracking. By turning chat-based interactions into an organized backend system, DIBDEE enhances operational efficiency and streamlines modern business workflows.
Project for Developing Critical Thinking and Problem-Solving Skills in Coding with AI
A web-based educational platform designed to teach and measure critical thinking skills. It provides structured, chapter-based courses where students engage with rich content including text, media, multiple-choice quizzes, and open-ended prompts graded automatically by AI. Teachers can build and manage course content through a dedicated authoring studio, while administrators oversee course quality through a separate management portal. The platform connects three user-facing applications to a single backend API, with a full cloud-native infrastructure supporting automated deployments and centralized observability.
An Online Platform for Booking and Managing Repair Services
Currently, The expansion of residential areas in Thailand has continued to grow, leading to an increasing demand for property maintenance and repair services. However, finding reliable technicians who match users’ specific needs remains a challenge. Therefore, this project aims to develop “ChangSure,” an online repair request and technician booking application that serves as an intermediary platform between customers and technicians. Users can specify service details and either select technicians manually or allow the system to assign them automatically. The system improves convenience, reduces coordination complexity, and enhances the efficiency and reliability of service delivery.
LawMatch
This project is a legal case management platform that connects people in Thailand with qualified lawyers, making legal services more accessible and transparent. It serves clients, lawyers, and administrators. Clients can describe their legal issues and be matched with suitable lawyers using an AI-powered recommendation system. Lawyers can manage cases and communicate with clients directly. The platform also supports document sharing, reviews and ratings, email notifications, and conflict-of-interest detection, while ensuring user data protection in compliance with privacy laws.
Freeflow
This project aims to design and develop a centralized back-office management application for freelancers, capable of seamlessly integrating with popular communication channels such as LINE and Facebook. The proposed system includes key features such as generating quotations and invoices, managing schedules with automated reminders, tracking income and expenses along with work history statistics, supporting multiple accounts (e.g., multiple Facebook Pages and LINE Official Accounts), and providing a unified chat inbox to consolidate messages from various platforms.
School management system
The School Management System (SMs) is designed as a common service platform that connects to an existing school database and provides standardized APIs for other systems to access data and documents. Instead of building direct database connections for each application, other services can simply integrate with SMS to retrieve and manage the information they need. The platform consists of two main components: the Data Management Service and the Document Management Service. These core services support centralized data access, document handling, and system integration.
Development of a Web Security Assessment and Ranking System for Thai University Websites Based on Public Configuration Analysis
This study develops a system to assess and rank the web security of Thai university websites using seven key configuration indicators. The system applies semi-passive scanning to generate security scores and rankings, highlighting risks and supporting improvements in web security standards.
Creating a color matching function for transparent food products
This study addresses the challenges of precise color formulation in 3D food printing. Traditional trial-and-error methods for color matching are time-consuming and resource-intensive. To overcome this, we developed a data-driven expert system to identify an effective method for ingredient recommendation. Using an experimental database, including precise ingredient proportions (e.g., base materials and colorants) and their corresponding measured color values (RGB, CIELAB, CMYK, HSV), we evaluate the system’s accuracy in retrieving suitable printing formulas. Our findings inform a decision-support graphical user interface (GUI) tool that assists food technologists in making informed formulation choices. Experimental results demonstrate that the Euclidean distance algorithm achieves a strong balance in matching precision, successfully retrieving formulas within an acceptable human visual threshold (Delta E <= 3.0). Furthermore, multiple linear regression analysis reveals a highly predictable relationship between colorant concentrations and chromaticity values (Lab*). Although the current database-lookup approach yields highly accurate results for predefined formulas, its inability to extrapolate limits its deployment for entirely unseen colors. Consequently, this study establishes a robust data pipeline, and we recommend integrating this system with predictive Machine Learning models in the future. This approach offers a compelling trade-off between current computational reliability and future generative capabilities, significantly advancing automated color matching in the alternative protein and food technology sectors.
KMUTT Station
Modhub, also known as KMUTT Station during its development, is a centralized video and audio streaming platform developed for the PR team of King Mongkut's University of Technology Thonburi. The platform addresses the university's need for a dedicated media hub by providing a full-featured content distribution system where creators can upload, manage, and stream video and audio content to students, staff, and the public. The system supports adaptive bitrate HLS streaming, enabling smooth playback across varying network conditions. Authentication is unified through both local accounts and Microsoft Azure AD SSO, allowing KMUTT staff to sign in with their institutional credentials. Content is organized through official verified channels and personal creator channels, moderated via an administration dashboard. The platform was built and deployed across three dedicated university virtual machines using a fully containerized, CI/CD-automated infrastructure.
Trip Planning System for Domestic Travel in Thailand
Domestic tourism in Thailand continues to grow and plays an important role in society. However, trip planning remains complex, and existing tools do not fully meet user needs, especially for Thai users. This project aims to develop an all-in-one travel planning system that simplifies the process, enhances convenience, and improves user experience, while also supporting long-term growth in Thailand’s tourism economy.
GoSureStock: Inventory and Warehouse Management Information System for Dried Food Businesses
GoSureStock is an inventory and storage management information system developed for dried food retail and wholesale businesses. The system utilizes barcode technology to enable real-time inventory tracking, improve data accuracy, and reduce issues related to overstocking, stock shortages, and product expiration. It incorporates intelligent alerts and demand forecasting to support efficient operations and informed decision-making.
Dental Practice Management System (DPMS)
Fundee is a dental practice management system designed to streamline and enhance clinic operations. Developed to address the increasing demand for efficient patient and appointment management, the system replaces traditional processes with a digital platform. It enables real-time appointment scheduling, dental data tracking, and notification services via LINE, while reducing staff workload and improving service quality and patient experience.
Fanato (The Financial Assistance)
Fanato is an innovative, AI-driven financial assistant designed to democratize personal wealth management. By leveraging advanced artificial intelligence and specialized financial models, the platform helps individuals manage their finances intelligently. It offers comprehensive features including personalized investment recommendations, risk-aware portfolio structuring, debt reduction planning, and tax optimization. Fanato's intuitive interface translates complex financial data into actionable insights, empowering users to make informed decisions and achieve long-term financial stability.
SIT Event Management System (SIT-EMS)
The SIT Event Management System (SIT-EMS) addresses fragmented event registration and tracking at the School of Information Technology, KMUTT. This platform streamlines management for external students, internal students, and staff by providing a unified, user-friendly experience. Key features include comprehensive event management, efficient QR-code-based check-ins, dynamic survey forms, and an automated certificate generation system. By centralizing data and enhancing engagement, SIT-EMS improves operational efficiency, ensures PDPA compliance, and strengthens the faculty's strategic outreach to prospective students.
Lifestyle, Activity & Community Platform
Currently, lifestyle activity booking in Thailand faces challenges from traditional systems that are often delayed and lack social connectivity. JOYNMISE was developed as an integrated platform that merges activity booking with community engagement under the concept of "Shared Experience." The platform targets individuals interested in local experiences, workshops, and sports, while simultaneously supporting service providers. Key features include a real-time booking system, Community Matching, and a comprehensive Vendor Dashboard. The project enables users to seamlessly access activities and build new friendships, while business owners can reduce administrative workloads and cultivate customer loyalty through data-driven insights. Ultimately, JOYNMISE enhances the lifestyle business ecosystem, fostering sustainable growth by perfectly blending technology with human interaction.
Expo Registration and Feedback System
Current event management is often hindered by fragmented tools for registration and surveys, leading to inefficient data analysis and low visitor engagement. EventHub solves this by unifying these processes into a single web-based ecosystem. To boost survey participation, the system implements a condition-based reward mechanism, requiring visitors to complete specific milestones, such as check-ins or surveys, to unlock rewards. Powered by AI, EventHub analyzes qualitative feedback through sentiment analysis (Positive/Neutral/Negative) and provides strategic recommendations, enabling organizers to transform raw data into actionable insights for future event improvements.
Online platform connecting pet owners with pet sitters
JOODPAKPAW is a centralized platform for finding trusted pet-boarding services, offering search, comparison, and direct chat in one place. It supports both businesses and individual sitters, uses Machine Learning to match pets with suitable options, and provides verified profiles and reviews to ensure safety, trust, and a seamless user experience.
A character’s emotions recognition through narrative TV dramas scripts with AI
This research aims to develop an artificial intelligence system for recognizing characters’ emotions from narrative television drama scripts in textual form. Emotion recognition from text is a challenging task because textual communication lacks paralinguistic cues such as tone of voice, facial expressions, and body language, which can lead to ambiguity and misinterpretation. Television drama scripts are employed as the primary dataset due to their narrative structure and conversational style, which closely resemble real-life textual communication. The research process involves collecting and curating drama script การเรียน/ ทัศนคติ/ การ ปรับตัว datasets, annotating emotional labels, and developing emotion recognition models using Custom GPT and finetuning approaches on large language models that support the Thai language. The system’s performance is evaluated using statistical metrics such as confusion matrix and F1- score. The expected outcome is an AI system capable of accurately recognizing characters’ emotions in drama scripts in a manner consistent with human interpretation. This system can be further applied to actor training, script analysis, and the development of text-based emotion analysis tools in other related contexts.
เกมเพื่อการเรียนรู้เชิงปฏิสัมพันธ์เพื่อพัฒนาการตัดสินใจในการควบคุมโรคแอนแทรกซ์
This project is an interactive serious game designed to help players learn how to make correct decisions in preventing and controlling anthrax disease (Anthrax). The game places players in realistic scenarios—such as farms, markets, and rural communities—where they must investigate risks, identify symptoms, and choose appropriate actions. Each decision directly impacts the spread or containment of the disease, encouraging critical thinking and applied learning.
NephroFlow
NephroFlow is a comprehensive Dialysis Clinical Management System developed to streamline hemodialysis clinic workflows. The platform facilitates efficient patient data management and enables real-time tracking of treatment sessions, ultimately reducing administrative burdens on medical staff.
Analysing the Strength of Passwords Created Using Thai–English Keyboard Layout Switching
This research investigates the cryptographic resilience of Thai-to-English password patterns, a common regional practice where users type Thai words in a Kedmanee keyboard layout while the actual layout is in standard English QWERTY keyboard layout. While often perceived by users as a form of hidden complexity, the security of these patterns remains largely unquantified against modern attack vectors. This study evaluates a curated dataset of 1,000 Thai-to-English passwords alongside established global benchmarks from the RockYou (2009) and LinkedIn (2016) breaches. Utilizing a multi-dimensional framework, the methodology incorporates theoretical entropy modeling (Shannon Entropy) and heuristic scoring (ZXCVBN) alongside active penetration testing using the Hashcat framework. The patterns were benchmarked against five specialized dictionaries, including the original RockYou leak, the RockYou2024 corpus, and custom-built Thai linguistic and onomastic wordlists.
AskIT
ASK SIT is an intelligent assistant (AI Chatbot) developed to provide fast and accurate answers and information related to the School of Information Technology (SIT), KMUTT. The system utilizes Retrieval-Augmented Generation (RAG) technology in combination with a Large Language Model (LLM) to retrieve in-depth information from curriculum documents (PDFs) and the faculty’s website in real time. In addition, it includes a Human Handover (Ticket System) that forwards questions the AI cannot answer to administrators, enhancing the overall experience of accessing information for students and the general public efficiently.
