Project Overview
My final year university project: a mobile app-based plagiarism detection system that helps educators identify and flag plagiarized content in student submissions using NLP techniques. It ships as two apps — a teacher’s side for reviewing flagged reports, and a student’s side for submitting assignments.
Tech Stack
FlutterDartFlaskSQLAlchemySentenceTransformerNLTK
Key Challenge
Building a similarity engine (sentence embeddings, cosine similarity, and clustering) that stays accurate across varied writing styles while running practically from a mobile front end took real tuning of the NLP pipeline.
Gallery
Highlights
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Automated Detection
Sentence embeddings + cosine similarity flag matching content.
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Detailed Reporting
Flagged sentences, similarity percentages, and source information.
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Flexible Thresholds
Educators can adjust sensitivity for tailored plagiarism checks.
Explore This Project
Ready to See Plagiarism Detection System Live?
Explore the live product or dig into the source code on GitHub.