A mixed-used complex consisting of commercial spaces, agricultural informative center, workshop, vertical farming and home office.
เพื่อส่งเสริมเศรษฐกิจชุมชน ส่งต่อองค์ความรู้ทางการเกษตร และทดลองการปลูกข้าวแนวตั้ง
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
Thammadul Wellness Center is a health and wellness center focused on restoring balance to the body and mind through natural therapy and holistic care. Designed as a retreat for relaxation and rejuvenation, the center integrates alternative medicine, nutritional therapy, appropriate exercise, and an environment that promotes tranquility. The center offers a wide range of services, including Thai herbal spa treatments, yoga and meditation, nutritional counseling, and personalized health restoration programs. The architectural design emphasizes the use of natural materials and a setting that harmonizes with the surrounding environment, creating a serene atmosphere that allows visitors to reconnect with nature. Thammadul Wellness Center aims to promote the concept of holistic health care, emphasizing prevention rather than treatment, so that guests can adopt these wellness practices into their daily lives sustainably.
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
Interior Architecture Design Project: A Halal Restaurant Integrating the Culture of Songkhla, Thailand
คณะเทคโนโลยีสารสนเทศ
This report is part of applying the knowledge gained from studying machine learning models and methods for developing a predictive model to identify customers likely to cancel their credit card services with a bank. The project was carried out during an internship at a financial institution, where the creator developed a model to predict customers likely to churn from their credit card services using real customer data through the organization's system. The focus was on building a model that can accurately predict customer churn by selecting features that are appropriate for the prediction model and the unique characteristics of the credit card industry data to ensure the highest possible accuracy and efficiency. This report also covers the integration of the model into the development of a website, which allows related departments to conveniently use the prediction model. Users can upload data for prediction and receive model results instantly. In addition, a dashboard has been created to present insights from the model's predictions, such as identifying high-risk customers likely to cancel services, as well as other important analytical information for strategic decision-making. This will help support more efficient marketing planning and customer retention efforts within the organization.