| 英文摘要 |
LINE, a widely used application in Taiwan, serves as an ideal platform for developing a smart campus chatbot. By leveraging LINE's official API and SDK, the chatbot can respond to inquiries via the Messaging API. To ensure optimal customer service, we integrated Microsoft QnA Maker for semantic analysis and question prediction utilizing a semantic database. This integration enables the chatbot to provide precise answers to user queries. The development of the LINE chatbot was carried out using Python, SQLite, Django, Heroku, Git and PyCharm, adhering to specific requirements. Furthermore, we expanded the question-and-answer database based on user interactions. For mobile users, the chatbot can be easily accessed by scanning a QR code, eliminating the need for APP downloads or URL entries. This approach effectively addresses students' issues and reduces the administrative workload. |
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