Case Study: AI-Powered Plagiarism Checker for a Leading University

AI-Powered Plagiarism Checker for a Leading University

Safeguarding Academic Integrity: Implementing an AI-Powered Plagiarism Checker

Client Overview

A prestigious private university with over 3000 students enrolled across undergraduate, postgraduate, and research programs was experiencing mounting challenges in maintaining academic integrity. With the growing adoption of online learning and generative AI tools, faculty noticed a significant rise in both plagiarized and AI-generated submissions.

The university, known for its rigorous academic standards and international collaborations, needed a future-ready plagiarism detection system that could handle large volumes of assignments without compromising accuracy or speed.

The Challenge

The institution was relying on a legacy plagiarism checker that primarily performed keyword and phrase matching. This approach had serious limitations in the modern academic environment:

Failure to detect paraphrased content: Students could easily bypass detection by rewording existing material.
No AI-generated content detection: With tools like ChatGPT becoming mainstream, the university had no system to identify machine-written essays or research summaries.
Administrative overload: Faculty members often had to manually review suspected submissions, increasing grading time and leading to inconsistent outcomes.
Student dissatisfaction: Honest students raised concerns about fairness, as undetected plagiarism undermined the credibility of the grading system.

The university needed a scalable, AI-driven plagiarism checker that could integrate with LMS, scan diverse content sources, and provide clear, transparent reports for both faculty and students.

Our Approach

Edpilot Studio implemented its AI-Powered Plagiarism & AI-Content Detection Platform, customizing it to address the university’s specific academic requirements.

Step 1: Needs Assessment and Policy Alignment
We collaborated with the Academic Integrity Committee to identify their primary concerns: detecting subtle paraphrasing, recognizing AI-generated work, and generating reports aligned with university plagiarism policies.

Step 2: Seamless LMS Integration
Our team integrated the solution with the university’s LMS via secure APIs. Faculty could access reports directly from the grading dashboard, and students could run self-checks before submission to encourage originality.

Step 3: Advanced Detection Capabilities
Using natural language understanding and semantic analysis, the platform identified not just word-for-word copying but also paraphrased and restructured content. A deep web crawling engine scanned academic journal databases, news articles, blogs, and commercial databases, ensuring broad coverage.

Step 4: AI Content Recognition
A specialized module flagged assignments with a high likelihood of being AI-generated. Each detection came with an explainable AI score so faculty could understand the reasoning, reducing ambiguity.

Step 5: Training and Onboarding
We conducted workshops with faculty and IT administrators, ensuring they could interpret originality reports and integrate the tool into existing workflows. Students were also introduced to the tool to promote ethical content creation.

The Solution Delivered

AI-powered plagiarism detection with semantic and contextual analysis
AI-generated content detection to flag LLM-written work
Massive web crawling coverage across millions of sources
Secure LMS integration with role-based access controls
Detailed originality reports including similarity scores, matched sources, and AI-likelihood metrics
Enterprise-grade infrastructure ensuring data privacy and scalability

Results

Within three months of deployment, the university experienced measurable improvements:

Significant reduction in confirmed plagiarism cases, as students became more cautious about originality
85% accuracy in detecting AI-generated assignments, reducing academic dishonesty
Grading efficiency improved by 3x, as faculty could focus on teaching rather than manual reviews
Improved fairness and transparency, with both students and faculty trusting the detection process
Compliance with accreditation standards, as reports aligned with national academic integrity frameworks

Feedback from faculty highlighted the time saved during grading, while students appreciated the ability to run originality checks before submission, shifting the culture from “policing” to “learning.”

Conclusion

The deployment of Edpilot Studio’s AI-Powered Plagiarism Checker enabled the university to regain control over academic integrity in a rapidly changing digital environment. The solution not only reduced plagiarism but also promoted ethical learning practices, empowered faculty with actionable insights, and delivered scalable performance for thousands of daily submissions.

This case demonstrates how institutions can leverage AI and advanced detection technologies to safeguard originality, enhance fairness, and maintain credibility in education even in the age of generative AI.

Industry:

Higher Education

Users Impacted:

3,000+ students

Challenge:

Rising plagiarism and AI-generated submissions not detected by legacy tools

Solution:

AI plagiarism and AI-content detection integrated with LMS

Results:

Plagiarism significantly reduced, 85% AI detection accuracy, 3x faster grading

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