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EduTestAI – Intelligent Exam Creation & Evaluation Platform

Project Overview
  • Project Title: EduTestAI – Intelligent Exam Creation & Evaluation Platform
  • Domain: Edtech
  • Technology Stack: Node.js , Express.js , React , MongoDB
  • Duration: 3 Weeks
Project Description

EduTestAI is an AI-powered platform designed to help educators automatically generate personalized exams based on curriculum content. The platform allows instructors to upload syllabus materials (e.g., chapters, notes), from which the system generates a variety of question types, including multiple-choice, short-answer, coding problems, and essay-type questions. The system leverages AI to ensure questions are varied, relevant, and align with Bloom's Taxonomy to assess students' cognitive abilities across different difficulty levels. The tool also offers plagiarism detection, automatic grading, and analytics to track student progress.

Key Objective
  • Automate the exam creation process based on syllabus content.
  • Generate a variety of question types (MCQs, coding, essays, etc.) with an AI-driven approach.
  • Align questions to Bloom’s Taxonomy for evaluating cognitive skills.
  • Provide plagiarism detection to ensure academic integrity.
  • Offer automated grading with real-time feedback.
  • Enable data analytics for tracking student performance and insights.
Core Feature
  • AI-Generated Question Bank based on syllabus content.
  • Multiple Question Types: Multiple Choice Questions (MCQs), Short Answer Questions, Essay Questions, and Coding Problems (with auto-grading).
  • Bloom’s Taxonomy integration to evaluate various cognitive levels:
    • Remembering
    • Understanding
    • Applying
    • Analyzing
    • Evaluating
    • Creating
  • Plagiarism Detection using AI-powered content comparison (e.g., Turnitin API).
  • Automated Grading for MCQs, coding problems, and short answers.
  • Customizable Exam Settings: Time limit, number of questions, randomization.
  • Student Performance Analytics: Individual and group performance insights.
  • Question Difficulty Adjustment: Based on student performance and historical data.
  • Real-Time Feedback for students upon exam completion.
  • Exam Reports: Downloadable PDFs, statistics, and grade distribution.
  • AI-Enhanced Question Variability: The system can generate questions with different structures and wording to prevent cheating and encourage deeper learning.
  • Natural Language Querying: Educators can ask the system to create questions based on specific topics, and the AI will generate relevant questions.
  • Interactive Question Bank: Users can edit and customize generated questions and save them for future use.
  • Voice-Assisted Question Generation: Integrate with voice assistants for hands-free question creation.

Tools & Technologies Used

Category Tools / Technologies
Language JavaScript
Backend Framework Node.js with Express.js
Frontend React.js (with Redux or Content API).
Database MongoDB (Primary), Redis (for caching, session).
Authentication & Security JWT, OAuth2, bcrypt.js
AI/NLP Integration OpenAI GPT for question generation, spaCy for NLP tasks
Plagiarism Detection Turnitin API / Copyscape integration
Auto-Grading Engine CodeMirror for live coding problems, Jest for test cases
Data Analytics & Reports Recharts, Chart.js, D3.js for performance visualization
Notifications Nodemailer (Email), Twilio (SMS)
Testing Tools Jest, Mocha, Cypress (end-to-end testing)
DevOps & Deployment Docker, GitHub Actions, AWS EC2, MongoDB Atlas

Prerequisites

πŸ’» System Requirements
  • Operating System: Windows / Linux / macOS
  • Minimum 8 GB RAM (Recommended for AI processing and live grading features)
  • Node.js (v16 or above) and npm/yarn installed
  • MongoDB installed locally or access to MongoDB Atlas
  • Docker for containerized deployment
  • Reliable internet for API integration with GPT, Turnitin, etc.
πŸ“¦ Software Dependencies
  • Express.js for RESTful backend APIs
  • React.js with Redux or Content API for frontend management
  • Redis for caching and session management
  • JWT and OAuth2 for secure authentication
  • OpenAI API (GPT) for AI-based question generation
  • Turnitin API / Copyscape for plagiarism detection
  • CodeMirror for code input and grading
  • Recharts / Chart.js / D3.js for analytics visualizations
  • Nodemailer and Twilio for notification services
🧰 Tools & Services
  • IDE: VS Code or WebStorm
  • Version Control: Git + GitHub
  • CI/CD Pipeline: GitHub Actions
  • Cloud Deployment: AWS EC2 (server), MongoDB Atlas (database)
  • Testing Frameworks: Jest, Mocha, Cypress for unit and E2E testing
🌐 Technical Knowledge
  • RESTful API development with Node.js and Express.js
  • State management in React using Redux or Context API
  • Integration with third-party APIs (OpenAI, Turnitin, etc.)
  • Natural Language Processing (spaCy, GPT prompts) for intelligent content generation
  • Secure user authentication with JWT, OAuth2, and password encryption using bcrypt
  • Data visualization techniques for student analytics
  • Auto-grading logic and unit testing for coding problems
  • Docker-based deployment and basic AWS EC2 operations
  • TechnologyJava
  • TypeWeb Application
  • Duration3 weeks
  • ModeOnline/Offline
  • CertificateYes
  • Project ReviewIncluded
  • Doubt SupportLive & Chat Support
  • Career SupportResume & Interview Tips
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