International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Design and Implementation of Chatbot for Examination Cell Enquiries |
|---|---|
| ABSTRACT | Educational institutions require a fast and accurate way to share exam information like schedules and circulars, but manual paper-based systems cause delays, miscommunication, and increased administrative workload. This project proposes an AI-based exam cell chatbot to address these issues efficiently. The chatbot uses advanced technologies such as Retrieval-Augmented Generation (RAG), semantic search, and transformer-based language models to deliver precise responses. Exam cell staff can securely upload official documents into the system. These documents are processed using OCR to convert them into digital format. The processed data is stored in a structured SQL database for easy management and retrieval. When a student submits a query, the chatbot searches the database for relevant information. It then generates accurate and context-aware responses instantly. This system reduces dependency on manual processes and minimizes staff effort. It also ensures timely availability of exam-related information. Additionally, it improves communication between students and administrators. The chatbot enhances accessibility and consistency of information. Overall, it provides a reliable and efficient solution for exam information management. |
| AUTHOR | Y. GAYATHRI, B. PADMA NAGA DURGA, T. VINOD KUMAR, V. UMA MAHESWARA RAO, B. SRAVANI, CH. JAYARAM BHAVANI PRASAD Assistant Professor, Department of CSE (AI&ML), NSRIT, Visakhapatnam, India Students, Department of CSE (AI&ML), NSRIT, Visakhapatnam, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1403124 |
| pdf/124_Design and Implementation of Chatbot for Examination Cell Enquiries.pdf | |
| KEYWORDS | |
| References | 1. Debnath & Agarwal (2020) — Framework to implement an AI-integrated chatbot in educational institutes. https://www.jsr.org/index.php/path/article/view/1063 2. Design and Development of Chatbot for College (2023) — Academic article on college chatbot design. https://www.espjournals.org/IJSHMS/ijshms-v1i1p103 3. A Chatbot Student Support System in Open and Distance Learning Institutions — Development methodology, tools, and testing of an education chatbot. https://www.mdpi.com/2073-431X/14/3/96 4. SQUbot: Enhancing Student Support Through a Personalized Chatbot System — Detailed design and NLP implementation. https://www.mdpi.com/2227-7080/13/9/416 5. Integrating Chatbots in Education: Chatbot-Human Interaction Satisfaction Model — Survey on educational chatbot implementation. https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-023-00432-3 6. Designing a Chatbot for Contemporary Education: A Systematic Literature Review — Overview of chatbot design principles. https://www.mdpi.com/2078-2489/14/9/503 7. Chatbot Design and Implementation: Towards an Operational Model — Methodologies for implementing chatbots. https://www.mdpi.com/2078-2489/15/4/226 8. Chatbot Designing Information Service for New Student Registration — Implementation using AIML and ML. https://journal.usti.ac.id/index.php/JAIA/article/view/638 |