College Chatbot System

Authors

  • Sumit Shantaram Nikam Student, Department of Computer Engineering, Maharashtra, India
    Author
  • Ishwar Samadhan Nikam Student, Department of Computer Engineering, Maharashtra, India
    Author
  • Pranav Dnyaneshwar Bachhav Student, Department of Computer Engineering, Maharashtra, India
    Author
  • Kunal Balu Sansare Student, Department of Computer Engineering, Maharashtra, India
    Author
  • Kareem R. Ansari Guide,
    Author

DOI:

Keywords:

College Chatbot, Artificial Intelligence, Natural Language Processing, Student Enquiry System, Automation, Educational Technology

Abstract

College administration offices often face challenges in handling a large number of student queries related to admissions, courses, examination schedules, fees, results, and general college information. Traditional manual enquiry systems are time-consuming, inefficient, and require continuous human involvement. To overcome these limitations, this paper presents the design and development of a College Chatbot System that provides instant and accurate responses to student queries using artificial intelligence techniques.

The proposed system uses Natural Language Processing (NLP) to understand user questions and generate appropriate responses based on predefined data and knowledge sources. The chatbot interacts with users through a simple and user-friendly interface, allowing students to ask questions in natural language. By automating the query-handling process, the system reduces the workload of administrative staff and ensures availability of information at any time.

The College Chatbot System improves communication efficiency, minimizes response time, and enhances the overall student experience. The system can be further extended to support multilingual interaction, voice-based queries, and integration with messaging platforms. This solution demonstrates how intelligent chatbot technology can be effectively utilized in educational institutions to modernize information management and support student services.

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Published

2026-02-14

How to Cite

[1]
Sumit Shantaram Nikam , “College Chatbot System”, Int. J. Web Multidiscip. Stud. pp. 227-230, 2026-02-14 doi: .