AI Powered Plagiarism Detection and Report Generator

This project introduces “An AI-powered Plagiarism Detection and Report Generator,” an innovative web-based platform designed to address the critical academic integrity challenges faced by students, educators, and content creators by providing an accessible, intelligent, and comprehensive originality checking system. The platform employs a robust Django backend architecture with a custom user authentication system, SQLite database for development, and modular Django apps for accounts and core analysis. At its core, an integrated hybrid detection approach combines external AI APIs (for AI-generated text detection, plagiarism scoring, and text humanization) with a local NLP engine using NLTK, scikit-learn, and an architected BERT/TF-IDF pipeline designed for future offline deployment. The system sup-ports multiple input formats including PDF, DOCX, and plain text with server-side text ex-traction. All scan results—plagiarism score, AI probability score, filename, timestamp, and full text—are persistently stored and linked to each authenticated user. The dashboard displays recent scans, while dedicated modules include an AI detector for AI-written content, a text humanizer for rewriting flagged passages, and a writing assistant roadmap for future expansion.