Abstract:
he study's primary objective was to create an online chatbot admission system to assist university applicants in obtaining information related to the institution's admission procedures. To achieve this, the research encompassed a comprehensive review of existing chatbot systems, identification of user and system requirements through informal interviews, and the specification of system design employing UML diagrams like use case, sequence, and activity diagrams. Implementation was carried out using an array of technologies including HTML5, CSS3, JavaScript, jQuery, Ajax API, Python, and Natural Language Processing (NLP), with data management facilitated by a PostgreSQL database. At the project's culmination, a web-based platform was delivered, furnishing applicants with standardized information concerning the university's admission processes and incorporating a database to store both user-bot interactions. The study concludes that this application will substantially benefit the university and applicants, providing rapid responses, consistent information ,and 24/7 support. In summary, the research offers a valuable contribution to streamlining university admission procedures through modern technology, alongside recommendations for future endeavors in this field.