e-Mulyankan: On-screen Answer Evaluation
Digital evaluation of scanned exam answer sheets, with examiner anonymity enforced end to end and marks pushed to the university ERP.
- Category: EdTech
- Client: Subharti University
- Role: Full Stack Developer
- Status: pilot
- Built with: Laravel 12, MariaDB, Alpine.js, Docker, AWS
e-Mulyankan moves exam marking for a university onto the screen. Scanned answer books are uploaded and quality-checked, allocated to examiner panels, marked anonymously, moderated and approved, and the final marks are pushed in bulk to the university ERP. Anonymity is enforced at four layers: separate database users, API resources that strip student fields, CI tests for leaks and split storage for cover pages.
What it does
- Upload and quality check of scanned answer-book PDFs
- Panel-based allocation of scripts to examiners
- Anonymous marking enforced at the database, API, test and storage layers
- Moderation and approval flow, then bulk push of marks to the ERP
- Two-factor login and 14 roles