Virtual Interface for College Enquiry Using AIML and Query Extraction Techniques and Algorithms

Abstract

Students in the post-COVID world find it difficult to physically visit a college for any type of college information, such as scholarships, admissions procedures, and so on. It is indeed difficult to search and extract such information for someone who is not a student or employee there. Furthermore, the workload on office administration grows significantly, and it is no longer able to address more than 2-3 students' inquiries at a time. So, a VIRTUAL INTERFACE, such as a 'Chatbot' or a 'Voicebot' comes into the picture. Nowadays people to engage with systems in an escalating number of ways via chatbots and voice assistants rather than visiting or interacting manually. The new modes of communication would be chatbots, voice-bots, or voice assistants. This paper explains the advancement in Artificial Intelligence [AI], Machine Learning [ML], and Natural Language Processing [NLP] may assist us in developing a chatbot or voice-bot. The college inquiry system will respond by summarizing the query and then outputting replies, it will also supply the user with selective information. A college enquiry virtual system will give all responses important regarding various fields like examination cell, student admissions, academic & college notices, attendance of students, all placement related activity from placement cell and other miscellaneous fields.