An Online Learning Platform

01 / The challenge

Start with the real problem.

The platform's existing plagiarism checker only matched against a small internal database and missed content copied from the wider web or generated by AI tools. For Online Learning Platform's education team specifically.

02 / The solution

A system built to fit.

I built a more thorough detection pipeline combining web-similarity search with stylistic pattern analysis, flagging submissions for instructor review. The approach leaned on Online Learning Platform's existing data rather than requiring a separate data-collection effort, which kept the timeline realistic.

1. 01

   Started with a short discovery phase to map out exactly what Online Learning Platform needed, and what a realistic could be done within 7 weeks.

2. 02

   Development for Online Learning Platform centered on Python, HuggingFace, with an early working version ready well before the full feature set was finished.

3. 03

   Rolled out to a smaller pilot group within Online Learning Platform first, then expanded once the early numbers held up under real usage ( The beta phase).

4. 04

   Completed the work with Online Learning Platform with a working system.

03 / The results

What changed.

• Flagged cases the previous checker had been missing
• Gave instructors a similarity report instead of a flat pass/fail
• Kept final judgment with the instructor, not the algorithm