A Multi-Model and Ai-Based Collegebot Management System (Aicms) For Professional Engineering Colleges
K. Arun1, A. Sri Nagesh2, P. Ganga3
1K. Arun, Research Scholar, Department of Computer Science Engineering, Acharya Nagarjuna University, Guntur (Andhra Pradesh), India.
2Dr A. Srinagesh, Associate Professor, Department of Computer Science Engineering, RVR&JC, Guntur (Andhra Pradesh), India.
3P. Ganga, Assistant Professor, Department of Computer Science Engineering, in MRCE, Hyderabad (Telangana), India
Manuscript received on 03 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 July 2019 | PP: 2910-2914 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8818078919/19©BEIESP | DOI: 10.35940/ijitee.I8818.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Chatbot is a program which provides human conversation using Artificial Intelligence (AI). Chatbots are designed to work as VIRTUAL ASSISTANTS (VA). They themselves provide a platform for the promotions of the Products and Services online. All Higher Educational Institutes provide the complete information through their internet sites for students, which admits the use of social nets such as Facebook, WhatsApp, and College websites. Total-in-All, in any website, searching functionality is required to search for any information and it includes Social Media Applications like Facebook and WhatsApp regular response are utilized. Therefore, Chatbot is an effective auto-response system, and also an instant messaging platform. In this paper, AICMS an AI-Based CollegeBot management system for professional Engineering college system provide the auto-response to student queries about the college basic information, class timetables, examination schedules related to academics. Many Queries about the subjects and placements can be inputted to the system. Here the system AICMS is designed with Dialogflow which is supported by the Google API. AI and running as a messenger in the Facebook, which takes the input as the text and voice and it provides the response as text and voice. It gives a quick, accurate response to student and staff queries in an interactive fashion.
Keywords: Chatbot, Natural Language Processing, Machine Learning.
Scope of the Article: Machine Learning