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Title |
NED Chatbot for Admission Related Queries Using Prescriptive Analysis |
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Author |
Wisha Raees, Muhammad Ali Ismail, Ruqqaiya Aziz, Amber Afshan |
| Citation |
Vol. 19 No. 5 pp. 133-138 |
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Abstract |
During admissions in NED University of Engineering and Technology thousands of questions or queries are generated related to admission process by the applicants. To solve this problem, an online admission query Chatbot has been developed to respond to student’s queries at no time. The operational users can get instant answers of their queries about the admission procedure and different issues related to admission using this chatbot. This online admission query chatbot uses artificial intelligence algorithm and perspective analysis to analyze user’s queries and respond accordingly. The Chatbot is trained on 20,000+ queries of the previous three years data. It uses SVM algorithm for classification of queries which is implemented on the R Studio and generating the responses. The GUI is based on JavaScript, J Query and Ajax and my SQL is used for backend. |
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