SECURING...
Academic FBI is built for university to detect plagiarism. The software compares submissions within a course, hiding student identities to eliminate bias, and revealing them only when instructor sends a request.
Choose your university, then pick your role.
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Each step connects to the next for the analyses.
Instructor creates an assignment for courses they are teaching with all required guidelines.
Student gets an email to submit the assignment with deadline and token.
Only allows ZIP submission and token verification maintains security.
Peer-to-peer comparison is processed and instructor can add previous year assignment for cross-year detection.
The grading should be free from bias. Instructor comparison views never show student identities during analysis. Names, IDs and student email are only revealed after an instructor request.
Instructors see submission content, similarity, severity scores — never names or IDs.
Once software detects plagiarism, instructors can send a request for identity reveal.
Instructors can cross-check against previous year submissions to catch same submission.
"We don't just detect plagiarism,— Academic FBI's Core Belief
we protect the identity of every student
without compromising fairness."
A core team of seven - developers, designers, and a leader who built this software for universities.
Aligns the team and handles all the communications.
Build the core plagiarism detection engine, logic detection in the submissions.
Bridges frontend and backend with help of databases for deployment.
Designs the interface and implements the functionalities.
Implements UI components and handles the website look for all devices.