Input Pack
The system accepts the ideal answer sheet, rubric JSON, and a batch of student PDFs for one traceable evaluation run.
AI Answer Sheet Evaluation Platform
Automated Subjective Answer Sheet Evaluation System
Ai Grader is a web-based subjective answer sheet evaluation system designed for educators who want faster, more consistent grading of descriptive exam responses. It combines OCR, semantic grading, formula understanding, diagram-aware analysis, and rubric-based scoring in one connected workflow.
The platform is built as a practical academic product where faculty can upload an ideal answer sheet, rubric JSON, and student PDFs, choose the evaluation mode, monitor the workflow, and download structured grading reports from a single interface.
Quick Snapshot
A simplified view of how the system operates from file upload to final report generation.
Recognition Layer
Printed sheets use OCR extraction, while handwritten sheets can move through Google Vision AI for higher recognition quality.
Multimodal Analysis
Text, formula regions, and diagrams are treated as separate evidence streams instead of being flattened into plain OCR text only.
Scoring and Reports
The selected engine applies rubric-aware grading, generates ranking tables, and produces downloadable student reports.
How The Tool Works
The full workflow is designed to stay simple for the user while the internal pipeline handles multimodal grading in sequence.
Upload
Faculty uploads the answer key, rubric JSON, and student answer sheets.
Extract
OCR, formula parsing, and diagram isolation convert the sheets into structured answer signals.
Evaluate
SBERT or Gemini compares answers against the ideal sheet while respecting rubric weights.
Deliver
The platform returns run history, score tables, JSON outputs, and downloadable PDF reports.
Where It Can Be Used
These search-aligned use cases describe the kinds of academic and evaluation problems the platform is built to solve.
College and university subjective exam paper evaluation
The platform is suitable for this workflow because it combines OCR, rubric logic, and multimodal answer analysis instead of relying on plain keyword matching only.
Faculty workflows for rubric-based descriptive answer checking
The platform is suitable for this workflow because it combines OCR, rubric logic, and multimodal answer analysis instead of relying on plain keyword matching only.
Handwritten and printed answer sheet digitization with OCR
The platform is suitable for this workflow because it combines OCR, rubric logic, and multimodal answer analysis instead of relying on plain keyword matching only.
AI-assisted scoring for text, formulas, and diagram-heavy responses
The platform is suitable for this workflow because it combines OCR, rubric logic, and multimodal answer analysis instead of relying on plain keyword matching only.