Development of commercial web portal: chatting robot (CHATBOT) for xcelearn E-learning platform

Muhammad Hazlan Shah Idris

QR Code Link :
Type :	final_year_project
Subject :	LB Theory and practice of education
Main Author :	Muhammad Hazlan Shah Idris
Title :	Development of commercial web portal: chatting robot (CHATBOT) for xcelearn E-learning platform

Place of Production :	Tanjong Malim
Publisher :	Fakulti Seni, Komputeran dan Industri Kreatif
Year of Publication :	2023
Corporate Name :	Perpustakaan Tuanku Bainun
PDF Guest :	Click to view PDF file

Abstract : Perpustakaan Tuanku Bainun

The Xcelearn e-learning Platform provides a wide range of information on topics including math, physics, economics, history, and more. It was introduced and commercialized by manually calling users and setting up in-person and online meetings with users. However, doing so will burden staff and drive-up costs while making it harder to reach the platform's target user base's maximum number. The purpose of this project is to help introduce the Xcelearn e-learning platform by developing a chatbot system that utilizes machine learning like Dialogflow which is specialized to promote and commercialize the Xcelearn e-learning platform. The Xcelearn company and Xcelearn users such as learners, parents, and teachers will particularly benefit from the 24-hour availability of customer service. Since the chatbot is dynamic and the data may be changed, it is also beneficial for other commercial businesses' customer service. The uses of integration between botman framework and Dialogflow give the advantages for chatbot to understand users' intent better and give consistent and accurate answers to users.

References

Ayu, M. (2020). Online Learning: Leading e-Learning at Higher Education. The Journal Of English Literacy Education: The Teaching And Learning Of English As A Foreign Language, 7(1), 47-54. doi: 10.36706/jele.v7i1.11515

Nagarhalli, T., Vaze, V., & Rana, N. (2020). A Review of Current Trends in the Development of Chatbot Systems. 2020 6Th International Conference On Advanced Computing And Communication Systems (ICACCS), 706 -710. doi: 10.1109/icaccs48705.2020.9074420

Lalwani, T., Bhalotia, S., Pal, A., Bisen, S., & Rathod, V. (2018). Implementation of a Chat Bot System using AI and NLP. International Journal Of Innovative Research In Computer Science &Amp; Technology, 6(3), 26-30. doi: 10.21276/ijircst.2018.6.3.2

Lokman, A., & Ameedeen, M. (2018). Modern Chatbot Systems: A Technical Review. Proceedings Of The Future Technologies Conference (FTC) 2018, 1012-1023. doi: 10.1007/978-3-030-02683-7_75

Singh, S., & Thakur, H. (2020). Survey of Various AI Chatbots Based on Technology Used. 2020 8Th International Conference On Reliability, Infocom Technologies

And Optimization (Trends And Future Directions) (ICRITO). doi: 10.1109/icrito48877.2020.9197943

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264-75278. doi: 10.1109/access.2020.2988510

Arsenijevic, U., & Jovic, M. (2019). Artificial Intelligence Marketing: Chatbots. 2019 International Conference On Artificial Intelligence: Applications And Innovations (IC-AIAI). doi: 10.1109/ic-aiai48757.2019.00010

Ayanouz, S., Abdelhakim, B., & Benhmed, M. (2020). A Smart Chatbot Architecture based NLP and Machine Learning for Health Care Assistance. Proceedings Of The 3Rd International Conference On Networking, Information Systems &Amp; Security. doi: 10.1145/3386723.3387897

Jung, S. (2019). Semantic vector learning for natural language understanding. Computer Speech &Amp; Language, 56, 130-145. doi: 10.1016/j.csl.2018.12.008

Virkar, M., Honmane, V., & Rao, S. (2019). Humanizing the Chatbot with Semantics based Natural Language Generation. 2019 International Conference On Intelligent Computing And Control Systems (ICCS). doi: 10.1109/iccs45141.2019.9065723

Nursetyo, A., Setiadi, D., & Subhiyakto, E. (2018). Smart Chatbot System for E-Commerce Assitance based on AIML. 2018 International Seminar On Research Of Information Technology And Intelligent Systems (ISRITI). doi: 10.1109/isriti.2018.8864349

Khin, N., & Soe, K. (2020). University Chatbot using Artificial Intelligence Markup Language. 2020 IEEE Conference On Computer Applications(ICCA). doi: 10.1109/icca49400.2020.9022814

Mittal, M., Battineni, G., Singh, D., Nagarwal, T., & Yadav, P. (2021). Web-based chatbot for Frequently Asked Queries (FAQ) in Hospitals. Journal Of Taibah University Medical Sciences, 16(5), 740-746. doi: 10.1016/j.jtumed.2021.06.002

Ravi, R. (2018). Intelligent Chatbot for Easy Web-Analytics Insights. 2018 International Conference On Advances In Computing, Communications And Informatics (ICACCI), 2193-2195. doi: 10.1109/icacci.2018.8554577

Harahap, D., & Fitria, L. (2020). Aplikasi Chatbot Berbasis Web Menggunakan Metode Dialogflow. J-ICOM -Jurnal Informatika Dan Teknologi Komputer, 1(1), 6-13. doi: 10.33059/j-icom.v1i1.2796

Khan, M. (2020). Development of An e-commerce Sales Chatbot. 2020 IEEE 17Th International Conference On Smart Communities: Improving Quality Of Life Using ICT, Iot And AI (HONET), 173-176. doi: 10.1109/honet50430.2020.9322667

Kumar, M. (2018). A Comparative Study of Universally Accepted SDLC Models for Software Development. Int. J. Sci. Res. Sci. Technol, 4(5), 31.

Khoa, L. (2019) Portable, isolated, Fast & Powerful Universal Development Environment for PHP, Node.js, Python, Java, go, Ruby., Laragon. Available at: https://laragon.org/ (Accessed: January 21, 2023).

Larbi, D., Denecke, K., & Gabarron, E. (2022). Usability testing of a social media chatbot for increasing physical activity behavior. Journal of Personalized Medicine, 12(5), 828. doi:10.3390/jpm12050828

This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials.
You may use the digitized material for private study, scholarship, or research.

Back to previous page