Objective

To develop a tool that allows students to scan handwritten or printed diagrams, charts, and notes and convert them into editable, searchable text content using OCR (Optical Character Recognition) and AI models.

Key Features

• Upload or capture image of diagrams or handwritten notes

• Use OCR to extract text and structure

• Convert diagram labels and elements into editable digital format

• Organize extracted content into structured notes

• Export as PDF or save in user dashboard

• Language detection and multilingual support

Tech Stack

Workflow (Step-by-Step)

1. Image Input

• User uploads or scans an image of a diagram, flowchart, or handwritten notes.

2. Text Extraction

• OCR engine (e.g., Tesseract) processes the image and extracts all visible text.

• OpenCV pre-processes the image (denoising, segmentation).

3. Layout Interpretation

• AI models analyze diagram structure:

  • Identify arrows, labels, blocks

  • Understand relationships and flow

4. Editable Output

• Results are displayed in a clean, editable text + diagram format.

• Users can rearrange, modify, or annotate content.

5. Save or Export

• Final output can be:

  • Saved to the user's dashboard

  • Exported as a formatted PDF or text document