OOP-Based WhatsApp Chatbot for Educational Use

Author(s)	Mr. Saswath K R, DR MADHU MITHA K.
Country	India
Abstract	This paper presents the design and development of a rule-based WhatsApp chatbot that teaches Object-Oriented Programming (OOP) concepts while itself being implemented with OOP principles. The system uses Node.js (ES Modules) with Express for routing, MongoDB for persistent logs, and Redis for lightweight session state. WhatsApp connectivity is provided through Twilio’s Messaging API; ngrok is used for secure webhook exposure in development. The architecture is modular, with classes for menu rendering, input parsing, session management, and intent routing. We demonstrate encapsulation, inheritance, polymorphism, and abstraction throughout the codebase and show that deterministic, menu-driven conversations are effective for beginner-friendly programming instruction. In tests on Twilio’s sandbox, the bot achieved sub-250 ms median response time, stable concurrency for 15+ simulated users, and positive qualitative feedback. We discuss limitations and outline extensions including multilingual support and future NLP-based intent handling.
Keywords	WhatsApp chatbot, Object-Oriented Programming, Twilio, Node.js, Express, MongoDB, Redis, Educational technology, Rule-based dialog
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 4, October-December 2025
Published On	2025-11-15
DOI	https://doi.org/10.71097/IJSAT.v16.i4.8681
Short DOI	https://doi.org/hbbm2p

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology