Description:
School / College Admission Chatbot with Admin
Module Introduction In today’s digital era,
educational institutions such as schools,
colleges, and universities are facing an
increasing number of student enquiries related to
admissions, eligibility criteria, course details,
fees, duration, and required documents. Handling
these queries manually consumes a significant
amount of time and manpower. To overcome this
problem, an automated solution is required that
can respond to student queries instantly and
accurately. The School / College Admission
Chatbot Project is designed to provide an
intelligent, automated, and user-friendly platform
that answers admission-related questions 24×7. The
chatbot is developed using ASP.NET Core MVC with
SQL Server as the backend database. The system
includes a fully functional Admin Module, which
allows administrators to manage chatbot questions
and answers efficiently and securely. Purpose of
the Project The primary purpose of this project
is to automate the admission enquiry process and
reduce the workload of administrative staff. The
chatbot acts as a virtual admission assistant that
interacts with users and provides quick
responses. Another important objective of this
project is to allow non-technical administrators
to manage chatbot content without modifying the
source code. This is achieved through the Admin
Module, where questions, answers, and keywords can
be added, updated, or deleted easily. Overview of
the System The system consists of two main
modules: User Chatbot Module Admin Module The
User Chatbot Module allows students or visitors to
type their questions in natural language. The
chatbot processes the input, searches for relevant
keywords or matching questions in the database,
and returns the most appropriate answer. The
Admin Module is a secure backend panel that allows
authorized users to manage chatbot data. It
ensures that the chatbot always provides updated
and correct information. User Chatbot Module The
User Chatbot Module is the front-facing component
of the system. Users can ask questions related
to: Admission process Eligibility
criteria Course details (B.Sc, M.Sc, BCA, MCA,
BA, MA, B.Com, M.Com, etc.) Duration of
courses Required documents Fee structure The
chatbot supports greeting detection such as “Hi”,
“Hello”, or “Namaste” and responds politely. It
also ignores meaningless inputs such as single
characters and handles spelling mistakes using a
Levenshtein Distance algorithm. This improves user
experience and ensures accurate responses even if
the user makes typing errors. Keyword Matching
and Spell Correction The chatbot uses a
keyword-based matching technique. Each question
stored in the database is associated with relevant
keywords. When a user submits a question, the
system compares the input with stored questions
and keywords to find the best possible
match. Additionally, spell correction is
implemented to handle incorrect spellings. This
feature allows the chatbot to understand user
intent even when words are typed incorrectly,
making the system more user-friendly. Admin
Module The Admin Module is the most important
part of the project, as it controls the chatbot’s
knowledge base. Only authorized administrators can
access this module through a secure login
system. Admin Login The admin must enter a valid
username and password to access the admin panel.
Authentication is performed using database
verification. If the login is successful, a
session is created, and the admin is redirected to
the dashboard. Unauthorized users are denied
access. Admin Dashboard The dashboard provides
an overview of chatbot data and administrative
options. From the dashboard, the admin can manage
all chatbot operations easily. Upload New
Questions and Answers The admin can add new
questions, answers, and keywords related to
courses and admissions. This allows the chatbot to
expand its knowledge without requiring any code
changes. Edit Questions and Answers This feature
allows the admin to update existing chatbot
responses. Admission rules and course details
often change, so editing ensures the chatbot
always provides current information. Delete
Questions and Answers Admins can remove outdated
or incorrect questions from the database. This
keeps the chatbot database clean and
accurate. View All Chatbot Data Admins can view
all stored chatbot questions and answers in a
structured format. This helps in monitoring and
managing chatbot content effectively. Secure
Admin Panel Security is a major concern in any
web application. The admin panel is protected
using authentication and session management.
Unauthorized users cannot access admin pages
directly. The logout feature destroys the admin
session to prevent misuse. Database Design The
system uses SQL Server as the backend database.
The main tables include: Admin Table: Stores
admin login credentials ChatbotQA Table: Stores
chatbot questions, answers, and keywords This
structured database design ensures efficient data
retrieval and easy management. Advantages of the
System Provides instant responses to admission
queries Reduces manual workload of staff 24×7
availability Easy to update chatbot knowledge
through admin panel Secure and scalable
system Limitations The chatbot is
rule-based Limited to stored data Supports only
English language Future Enhancements Integration
with AI and NLP technologies Multilingual support
(Hindi, English, etc.) Voice-based
chatbot Mobile application integration Advanced
analytics for user queries Conclusion The School
/ College Admission Chatbot with Admin Module is
an effective solution for automating
admission-related enquiries. It provides fast,
accurate, and reliable information to users while
allowing administrators to manage chatbot data
securely. This project demonstrates the practical
implementation of web technologies, database
management, and basic artificial intelligence
concepts. It is highly suitable for educational
institutions seeking digital transformation in
their admission process

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