1Professor, Dept. of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India. Email: meiappaneit@mvit.edu.in
2,3,4,5U.G Scholar, Dept. of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India.
Background: Particularly during the admission season, the requirement for fast and effective communication between academic institutions and prospective students has become much more in line in the present educational scene. The design and deployment of an artificial intelligence-powered chatbot system catered for engineering colleges in Puducherry is presented in this work. Using several Amazon Web Services (AWS) components, the chatbot provides intelligent, automated, real-time interactions with consumers including parents, students, and other stakeholders.
Methodology: Amazon Lex, which has Natural Language Understanding (NLU) capabilities, therefore enabling the system to process natural language inquiries, forms the foundation of the chatbot. Lex is connected with AWS Lambda, a serverless compute tool in charge of running backend logic like dynamic response creation, input validation, and query processing. Highly scalable NoSQL database Amazon DynamoDB stores and retrieves admission-related data—including course descriptions, pricing structures, eligibility requirements, and deadlines. Designed using HTML, CSS, and JavaScript, the frontend interface offers an interactive and easily available platform fit for many devices and browsers. Between frontend and backend parts, the AWS SDK guarantees safe and flawless communication.
Results: By effectively managing questions about admissions, scholarships, hostel facilities, and placements, this chatbot system helps to lower human administrative tasks and improve student support systems. The suggested solution guarantees 24/7 availability, consistent and accurate responses, and scalable capability in line with user demand.
Conclusion: By making communication more responsive, easily available, and efficient for Puducherry's educational institutions, this deployment shows the promise of cloud-based artificial intelligence technology in changing academic support services.
Keywords: AI Chatbot; Amazon Web Services; Amazon Lex; AWS Lambda; Admission Support; Engineering Colleges; Cloud Computing; Natural Language Processing; DynamoDB
How to cite this article: Meiappane A, Vishnu S, Kowshik S, Rabel Kumar P, Ashok Kumar M. AI-Powered Chatbot for Students Admission Support in Technical Education. Int J Drug Deliv Technol. 2026;16(13s): 865-871. DOI: 10.25258/ijddt.16.13s.95.
Source of support: Nil.
Conflict of interest: None