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 | Chatbot for College Website |
|---|---|
| ABSTRACT | In the present digital era, quick and accurate access to information has become essential for students, parents, and website visitors. Educational institutions frequently receive repetitive queries regarding admissions, courses, fees, examination schedules, and other academic information. Managing these queries manually can be time-consuming and may cause delays in response. To address this issue, this research focuses on the design and development of a chatbot system for a college website. The proposed chatbot is developed to provide instant and automated responses to frequently asked questions. It uses basic Artificial Intelligence and Natural Language Processing techniques to understand user queries and generate appropriate replies. The chatbot is integrated into the website to ensure easy accessibility and 24/7 support. The system aims to reduce manual workload, improve communication efficiency, and enhance the overall user experience. This project demonstrates how chatbot technology can be effectively implemented in educational institutions to improve digital interaction and make information more accessible and efficient. |
| AUTHOR | SHRUTIKA RAJPUT; SANSKRUTI MANE; TANISHKA SODANWAR; V.A. UPADHYE; A. P. SHINDE Students, Department of Computer Technology, Bharati Vidyapeeth’s Jawaharlal Nehru Institute of Technology, Pune, Maharashtra, India Lecturer, Department of Computer Technology, Bharati Vidyapeeth’s Jawaharlal Nehru Institute of Technology, Pune, Maharashtra, India Head of the Department, Department of Computer Technology, Bharati Vidyapeeth’s Jawaharlal Nehru Institute of Technology, Pune, Maharashtra, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403034 |
| pdf/34_Chatbot for College Website.pdf | |
| KEYWORDS | |
| References | 1. Bharati Vidyapeeth’s Jawaharlal Nehru Institute of Technology (Polytechnic). (2025). Official Website. Pune, Maharashtra, India. Available at: https://bvjiot.edu.in 2. Bharati Vidyapeeth. (2025). Official Website. Pune, Maharashtra, India. Available at: https://bvuniversity.edu.in 3. Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson Education. 4. Jurafsky, D., & Martin, J. H. (2023). Speech and Language Processing (3rd ed.). Pearson. 5. Bird, S., Klein, E., & Loper, E. (2009). Natural Language Processing with Python. O’Reilly Media. 6. Python Software Foundation. (2025). Python Official Documentation. Available at: https://www.python.org 7. Flutter Documentation. (2025). Flutter Official Guide. Available at: https://flutter.dev 8. NLTK. (2025). Natural Language Toolkit Documentation. Available at: https://www.nltk.org 9. scikit-learn. (2025). Machine Learning in Python Documentation. Available at: https://scikit-learn.org |
