AI grading for handwritten answer sheets, built for Indian classrooms.
Kwilo AI reads scanned or photographed answer sheets and returns marks, per-question feedback, and a rubric audit trail — without replacing the evaluator.
What the grader does
Upload a batch of scanned answer booklets in PDF or JPEG format. Kwilo's OCR pipeline reads handwritten English answers. Each answer is scored against your rubric, with highlighted deductions and a summary score per learner. Faculty review AI marks and approve or override, the final grade is always a human decision.
Built for exam coordinators, HoDs, and faculty
A 60-seat batch at an engineering college generates roughly 3,000 answer sheets per semester exam. Manually evaluating each one takes 4–6 weeks. Kwilo reduces that to under 72 hours. HoDs get department-level analytics — which questions every learner missed, which questions distinguish top quartile from the median. Exam cells get an audit trail for re-evaluation disputes.
Data sovereignty and DPDP compliance
Answer sheets contain learner PII. Kwilo stores uploaded sheets in your institution's GCP or Azure tenant — not on shared infrastructure. Sheet data is retained only for the duration you configure and deleted on schedule. All processing meets DPDP Act 2023 obligations for purpose limitation and storage restriction. No learner data leaves your designated region.
Early results from our pilot colleges
Kwilo is grading handwritten answer sheets for our first cohort of college partners, scoring against a rubric instead of a blanket mark so every deduction traces back to a clause. Early feedback from faculty: turnaround is dropping from weeks to days, and re-evaluation conversations get shorter because the reasoning is already on the page.
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