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 handles Devanagari, Kannada, Telugu, and English scripts. 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.
Pilot results
In a 2025 pilot at a 3,000-learner VTU-affiliated college in Bengaluru, Kwilo graded 18,400 answer sheets across 6 subjects. Faculty agreement rate with AI marks was 91% without any rubric tuning. Turnaround from upload to reviewed results: 58 hours. Re-evaluation disputes fell by 34% because every deduction was linked to a rubric clause.
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