Online Examination System Using Python with AI Chatbot

Project Overview

The Online Examination System Using Python with AI Chatbot is a web-based examination platform developed using Django 5 and SQLite. It provides separate panels for students, teachers, and administrators to manage courses, examinations, questions, results, reports, and system settings. The application also includes a machine learning chatbot that assists users with supported examination-related queries.

Available Features

• Student Panel: Register, log in, manage profiles, enroll in courses, attempt exams, and view results.
• Timed Examinations: Take timed multiple-choice exams with autosave and automatic submission after the deadline.
• Result Management: Calculate scores, review answers, and access examination history.
• Teacher Panel: Create and manage courses, maintain question banks, schedule exams, and analyze student performance.
• Teacher Approval: Require administrator approval before pending teacher accounts can sign in.
• Custom Admin Panel: Manage students, teachers, courses, exams, announcements, and system settings.
• Performance Analytics: Display dashboard statistics, score distributions, question accuracy, and leaderboards.
• CSV Reports: Export examination data and performance reports.
• AI Chatbot: Classify user messages using TF-IDF and Logistic Regression, with text preprocessing through NLTK.
• Chatbot Management: Review chatbot analytics, edit intents, adjust confidence settings, and retrain the model.
• Examination Security: Use role-based permissions, server-side validation, deadline checks, and protected examination submissions.

Which Technologies Are Used in This Project?

• Python: Core programming language.
• Django 5: Backend web framework.
• SQLite: Database for application records.
• HTML and CSS: Structure and style the user interface.
• Bootstrap 5: Responsive interface components.
• Chart.js: Dashboard charts and performance analytics.
• scikit-learn: Machine learning intent classification using Logistic Regression.
• NLTK: Text preprocessing and stemming.
• TF-IDF: Converts text into numerical features for chatbot classification.

More Details and Full Documentation

For complete project information, screenshots, demo credentials, and installation instructions, visit Online Examination System Using Python with AI Chatbot on UPDATEGADH.