AI-Based IT Support Chatbot Final Year Project | Source Code
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AI-Based IT Support Chatbot Final Year Project

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Project Overview

Description, tech stack, and what is included

Full source Frontend + backend
Database .sql file
Setup guide README included

AI-Based IT Support Chatbot and Ticket Desk is a full-stack MERN application designed for internal IT support management in enterprises, colleges, campuses, and organizations. The system allows employees to chat with an AI-powered support assistant, raise IT support tickets, track ticket status, receive notifications, and submit satisfaction feedback after support resolution.

The platform includes two separate areas: an Employee/User Portal and an Admin Operations Console. Employees can register, log in, use the AI chat assistant, create support tickets with category and priority, view ticket replies, manage notifications, check FAQs, submit feedback, and update their profile. Administrators can manage users, admins, tickets, FAQs, knowledge base articles, brand settings, feedback, AI chatbot settings, OpenAI configuration, broadcast notifications, reports, analytics, and system settings.

This project is suitable for B.Tech, M.Tech, BCA, MCA, BE, ME, BSc, and MSc students who need a practical final year project, major project, or minor project based on IT helpdesk management, AI chatbot workflow, ticket desk automation, MERN stack development, JWT authentication, MongoDB database design, and admin dashboard functionality. FileMakr can provide this project with source code, project report, documentation, and setup support for academic submission.

Technical snapshot

Project
AI-Based IT Support Chatbot Final Year Project
Stack
NODE-JS
Includes
Code, DB, README
License
Academic submission
Secure CCAvenue payment · Instant download · Need help? WhatsApp us

Admin Features

Modules and controls available to administrators

  • Separate admin login in this final year project
  • Admin JWT authentication
  • Executive dashboard
  • View user KPIs
  • View ticket KPIs
  • View tickets by status
  • View tickets by priority
  • View chat session statistics
  • View satisfaction data
  • View critical support queue
  • View support roster snapshot
  • User management
  • Add, view, update, and delete users
  • Activate user accounts
  • Suspend user accounts
  • Search users
  • Filter users
  • Admin management
  • Manage support roster
  • Add admin/support members
  • Update admin details
  • Delete admin where safeguards allow
  • Prevent removal of sole admin where implemented
  • Ticket management
  • View ticket queue
  • Filter tickets
  • Assign tickets
  • Update ticket status
  • Update ticket priority
  • Reply to user tickets
  • Use AI summary helper where configured
  • Use AI suggested reply helper where configured
  • Create ticket on behalf of user
  • Delete ticket where supported
  • FAQ management
  • Add FAQs
  • Edit FAQs
  • Delete FAQs
  • Manage FAQ ordering
  • Enable or disable FAQs
  • Knowledge base management
  • Add knowledge base articles
  • Edit knowledge base articles
  • Delete knowledge base articles
  • Manage article keywords
  • Manage article categories
  • Save articles as draft or active
  • Manage retrieval-oriented support content
  • Brand management
  • Manage project or organization name
  • Manage theme settings
  • Manage contact channels
  • Manage footer content
  • Upload logo
  • Feedback management
  • View feedback submissions
  • Delete feedback submissions
  • Use optional AI thematic analysis endpoint where configured
  • Reports and analytics
  • View resolved and pending ticket counts
  • View satisfaction analytics
  • View chat usage
  • View tickets by category
  • View tickets by status
  • View ticket lifecycle hints
  • AI chatbot management
  • View conversation audit
  • Manage intent phrase rules
  • Manage chatbot categories
  • Manage chatbot availability toggles
  • OpenAI integration management
  • Configure model
  • Configure temperature
  • Configure token limit
  • Configure system prompt
  • Enable or disable OpenAI features
  • Rotate API key through server-side storage
  • Broadcast notifications
  • Send organization-wide notifications
  • Send notifications to selected users
  • System settings
  • Manage chatbot enabled/disabled status
  • Manage support messaging switches
  • Manage SMTP-related fields where configured
  • Admin profile management
  • Update own admin name
  • Update own admin email
  • Rotate admin password
  • Sync updated profile with shell session
  • Purge chat sessions from audit where policy allows

User Features

What end users can do in this application

  • Employee registration in this final year project
  • Employee login
  • Separate user JWT storage from admin token
  • User dashboard
  • Workspace summary
  • Navigation to chat, tickets, and notifications
  • AI chat assistant
  • Intent-aware chatbot handling
  • Chat grounded on FAQs and knowledge base where configured
  • Graceful fallback when AI is disabled or API key is missing
  • Ticket creation
  • Create tickets with category
  • Create tickets with priority
  • View ticket list
  • Open ticket detail
  • Edit ticket while appropriate, such as pending status
  • Withdraw ticket while appropriate
  • Add attachments where implemented
  • View ticket thread
  • View admin replies
  • FAQ section
  • View curated employee-facing FAQs
  • Notifications section
  • View in-app ticket-related notifications
  • View broadcast announcements
  • Feedback section
  • Submit satisfaction rating
  • Submit feedback comments
  • Manage feedback entries where supported
  • Profile section
  • Update account/profile information
  • Change password
  • Public landing page access
  • User login page access
  • User registration page access

Other Features

Additional capabilities included in the project

  • Full-stack MERN architecture in this final year project
  • MongoDB database with Mongoose models
  • Express.js REST API
  • React 18 frontend
  • Vite 5 development setup
  • Tailwind CSS interface
  • Lucide icons
  • JWT-authenticated user and admin realms
  • Separate admin and user token storage
  • bcryptjs password hashing
  • CORS support
  • express-validator validation support
  • Multer upload support
  • OpenAI SDK integration
  • Optional AI chatbot features
  • Graceful degradation when OpenAI API key is missing
  • FAQ-based support content
  • Knowledge base based chatbot grounding
  • Ticket desk workflow
  • Admin replies on tickets
  • User-visible ticket notifications
  • Broadcast notification system
  • Satisfaction feedback system
  • AI suggested reply support where configured
  • AI ticket summary support where configured
  • Reports and analytics dashboard
  • Seed script with demo users, admin, tickets, FAQs, knowledge rows, brand, categories, intent rules, sample chat, feedback, and settings
  • Public API routes for brand/theme content
  • Uploads exposed under /uploads
  • Production build support
  • Local deployment support using Node.js and MongoDB

Technology Used

Layer Technology
Runtime Node.js with ES modules
Backend API Express 4
Validation express-validator
Authentication JWT, bcryptjs
Database MongoDB
ODM Mongoose 8
File Uploads Multer
AI Integration OpenAI SDK
Frontend React 18
Routing React Router 6
Styling Tailwind CSS
Icons Lucide icons
Build Tool Vite 5
Security / Config CORS, environment variables

How to Run

Step-by-step setup on your laptop or PC

Step 1: Create environment file

Copy:


 
server/.env.example

Create:


 
server/.env

Add these environment variables:


 
PORT=5000
MONGO_URI=mongodb://127.0.0.1:27017/it-support-chatbot
JWT_SECRET=change-this-to-a-long-random-secret
OPENAI_API_KEY=

OPENAI_API_KEY is optional. If it is not configured, AI chat and suggestion features degrade gracefully where implemented.

Step 2: Install dependencies

From the repository root:


 
npm run install:all

This installs dependencies for both server/ and client/.

Step 3: Seed the database

Make sure MongoDB is running, then run:


 
npm run seed

The seed script wipes relevant collections and inserts demo users, admin, tickets, FAQs, knowledge rows, brand, categories, intent rules, sample chat, feedback, and settings.

Step 4: Run API and frontend together

From the repository root:


 
npm run dev

This starts:

Service URL
API http://localhost:5000
Client http://localhost:5173

The Vite client proxies /api and /uploads to the API during development.

Run API only


 
npm run dev --prefix server

Run client only


 
npm run dev --prefix client

Production build


 
npm run build

The production build outputs static assets to:


 
client/dist/

Start the API in production-style mode:


 
npm run start --prefix server

Application URLs

Area URL
Public Landing http://localhost:5173
User Login http://localhost:5173/login
User Register http://localhost:5173/register
User Portal http://localhost:5173/app
Admin Login http://localhost:5173/admin/login
Admin Console http://localhost:5173/admin
API Base http://localhost:5000
API Health /api/health
Uploads /uploads

Login Credentials

Default demo accounts for testing after setup

efault Accounts After Seed

Role Email Password
Administrator [email protected] Password123!
Sample Employee [email protected] Password123!

All seeded employee accounts use:


 
Password123!

Examples mentioned in the project details include:


 
[email protected]
[email protected]

License

Usage terms for academic and personal projects

Related Tags

Search terms and categories for this source code

AI-Based IT Support Chatbot Final Year Project Source Code Final Year NODE-JS Project Ready-to-Run Code With Database File Plagiarism-Free Faculty Approved AI-Based IT Support Chatbot IT Support Chatbot project IT Ticket Desk System AI helpdesk system IT support ticket management system final year project major project minor project source code project report MERN stack project MongoDB Express React Node project AI chatbot project employee support portal admin ticket desk project OpenAI chatbot project FAQ knowledge base system support ticket management project IT helpdesk management system customer service chatbot project
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