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Med Slip OCR is an AI-powered project developed during the Super AI Engineer Internship at Botnoi. The project uses object detection and OCR techniques to read numbers from medical slips, making the process faster, more accurate, and less prone to human error. The web application developed using Streamlit is user-friendly and provides an accessible interface for users to upload one or more images of medical slips and get the output in real-time.
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
- Clone the repo
git clone https://github.com/pangineering/med-slip-ocr.git
- Install all required libraries
pip install -r requirements.txt
Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.
For more examples, please refer to the Documentation
- Upload multiple images
- Detect types of text in the images and crop out the detected parts
- Read the text using EasyOCR