OCR_NER

1. Data Preparation

• Extracting Text from Business Card Images
• Cleaning and Labeling the Data

2. Data Preprocessing

• Loading and Preparing the Data
• Converting Data to Spacy Training Format
• Train-Test Split

3. Training NER Model with Spacy

• Model Architecture and Training Process
• Evaluation and Performance Metrics

4. Testing the Trained Model

• Data Preparation on New Images
• Prediction and Bounding Box Generation
• Evaluation and Refinement

5. Document Scanner

• Edge Detection and Morphological Transformations
• Perspective Transform and Image Cropping

6. Web App Development in Flask

• Document Upload and Scanning
• Manual Adjustment with JavaScript Canvas
• Text Extraction and Entity Prediction
• Entity Placement and Visualization