Mentoring Chatbot using Artificial Intelligence Framework
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Abstract
Mentors know only what is verbally said by the students, they are unaware of many problems and struggles that are faced by most of their students who hesitate to talk directly, so to come up with solution combining new technology, we came up with AI Mentoring Chatbot that can easily communicate with students and help them to solve their academic as well as personal problems where students can feel completely secure and anonymous, as well as confident about finding the information they need. The proposed system uses an open source Conversational AI framework. The student will type his/her query in the text box of the Chatbot. The chatbot will then answer the question according to the database. A weekly report will be sent to the respective mentor. The mentor can then evaluate the student’s problem, if any, accordingly. The proposed system can provide an alternative for one to one mentoring sessions.
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How to Cite
Satam, S., Nimje, T., Shetty, S., & Kurle, S. (2020). Mentoring Chatbot using Artificial Intelligence Framework. SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 12(SUP 1), 151-156. https://doi.org/.
Section
Research Article

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
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[2] Dahiya, M. (2017). A tool of Conversation: Chatbot, Volume-5, Issuses-5 E-ISSN:2347*2693. International Journal of Computer Sciences and Engineering(IJCSE).
[3] Parab, A., Palkar, S., Maurya, S., & Balpande, S. (2017). An Intelligent Career Counseling Bot, Volume:04 Issue:03|Mar-2017, e-ISSN:2395-0056 p-ISSN:2395-0072. International Research Journal of Engineering and Technology(IRJET).
[4] Bird, J. J., Ekart, A. & Faria, D. R. (2018). Learning from Interaction: An Intelligent Networked- Based Human- Bot and Bot-Bot Chatbot System, UK Workshop on Computational Intelligence, Springer.
[5] Fryer, L., Nakao, K., & Thompson, A. (2019). Chatbot
learning partners: Connecting the learning experiences, interest and competence, Computers in Human Behavior, Elsevier.
[6] Clarizia, F., Colace, F., Lombardi, M., Pascale, F. & Santaniello, D. (2018). Chatbot: An Education Support System for Students, International symposium on Cyberspace safety and Security-Springer.
[7] Satish Kumar Nalluri, Venkata Krishna Bharadwaj Parasaram. (2019). Software-Centric Automation Frameworks Integrating AI and Cybersecurity Principles. International Journal of Engineering Science & Humanities, 9(1), 30–40. Retrieved from https://www.ijesh.com/j/article/view/539
[8] Ciechanowskia, L., Przegalinska, A., Magnuski, M. & Gloor, P. (2019). In the Shades of the Uncanny Valley: An Experimental Study of Human-Chatbot Interaction, Future Generation Computer Systems. Volume:92- Elsevier.
[9] Folstad, A., Skjuve, M. & Brandtzaeg, P. B. (2019). Different Chatbot for Different Purposes: Towards a Typology of Chatbots to Understand Interaction Design, International conference of Internet Science.
[10] Pereira, J. & Diaz, O. (2018). Chatbot Dimensions that Matter: Lessons from the trenches, International Conference on Web Engineering, Springer.
[11] Shum, H-Y., He, X. & Li, D. (2018). From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots, Frontier of Information Technology & electronics engineer