Integrating Image Processing and Natural Language Understanding with Chatbot GPT for a Centralized Equipment Repair Notification System

This research focuses on the development of a chatbot designed to assist with the central equipment repair notification system at King Mongkut's University of Technology North Bangkok, Rayong campus. The system operates on the LINE application platform and integrates Chatbot GPT to facilitate communication and data transmission. The chatbot utilizes advanced Artificial Intelligence (AI) techniques, specifically Natural Language Processing (NLP), to understand user input and generate contextually appropriate responses, ensuring quick and efficient interactions. Additionally, the system incorporates Image Processing techniques to verify repair notifications, ensuring the accuracy of equipment details for each repair request. The Natural Language Understanding (NLU) approach enables the chatbot to accurately interpret and respond to user queries, enhancing the overall user experience. Testing results showed that the chatbot achieved a 90% accuracy rate for text-based queries and an 85% precision rate for image verification in repair notifications. Overall, the system received high user satisfaction, demonstrating its effectiveness in improving the equipment repair notification process.