Handwriting & Diagram Recognition Module Development
Budget: $30 – $250 USD
I'm seeking a freelancer to create a handwriting recognition module for grading handwritten test papers. The module should be able to:
- Recognize both cursive and printed handwriting
- Understand and interpret complex technical diagrams
- Separate answers based on identifiers like answer numbers
- Ignore crossed-out content
-The engine should be self learning - the more handwritten notes are submitted, the more the accuracy increases.
This is a high-stakes project requiring a high level of accuracy. Ideal candidates will have experience with machine learning, computer vision, and handwriting recognition systems. Familiarity with grading systems and educational assessment processes will be a plus. Please include relevant past projects in your proposal.
- Recognize both cursive and printed handwriting
- Understand and interpret complex technical diagrams
- Separate answers based on identifiers like answer numbers
- Ignore crossed-out content
-The engine should be self learning - the more handwritten notes are submitted, the more the accuracy increases.
This is a high-stakes project requiring a high level of accuracy. Ideal candidates will have experience with machine learning, computer vision, and handwriting recognition systems. Familiarity with grading systems and educational assessment processes will be a plus. Please include relevant past projects in your proposal.