Project Overview
AI Plagiarism Checker is an advanced tool designed to detect duplicate content and ensure originality in written work. The application leverages AI algorithms to scan text and provide detailed reports on content similarity and sources.
Features
- Text Analysis: Scans and analyzes text for potential plagiarism.
- Detailed Reports: Provides comprehensive reports with similarity scores and sources.
- User-Friendly Interface: Easy-to-use platform for uploading and checking documents.
- Real-Time Processing: Quick and efficient plagiarism detection.
Implementation
Frontend
- Framework: React.js for a responsive and interactive user interface.
- Styling: CSS and Bootstrap for a clean design.
- API Calls: Axios for making HTTP requests to the backend.
Backend
- Framework: Python with FastAPI for processing and analyzing text.
- AI/ML: Utilizes natural language processing (NLP) techniques for plagiarism detection.
- Database: NoSQL database to store and manage user data and reports.
- API Integration: Integration with external APIs for additional data sources.
Approach
- Setup: Initialized the project with Create React App for the frontend and set up FastAPI for the backend.
- Design: Created reusable components for the document upload, plagiarism results, and user authentication pages.
- AI Integration: Implemented NLP techniques to analyze text and detect plagiarism.
- State Management: Used Redux to manage the global state, including document data and plagiarism results.
- Testing: Conducted thorough testing to ensure all features work seamlessly across different devices and screen sizes.
Problem Solved
The AI Plagiarism Checker helps users maintain academic integrity and content authenticity by identifying and highlighting duplicate content, making it a valuable tool for students, educators, and writers.