Dear Client,
I’m Steven, a Machine Learning Engineer specializing in OCR, AI model deployment, and document processing. I have experience in similar projects, such as ID field detection for Ecuadorian documents (Check out my profile).
I propose developing a mobile-based prescription data extraction system using open-source OCR models (Tesseract, EasyOCR, PaddleOCR) and deep learning (YOLOv8, EfficientDet) to detect and structure medicine-related information. The system will include:
OCR & NLP Pipeline: Image pre-processing, text extraction, and structured data output.
Computer Vision Models: Document segmentation and key field detection.
Optimized Deployment: Using TensorFlow Lite or ONNX for mobile efficiency.
Scalability: A modular design for future extensions (e.g., handwriting recognition).
Tech Stack
Python, OpenCV, TensorFlow/PyTorch, Flask/FastAPI, Docker.
Estimated Timeline
3-4 weeks, $50 CAD/hour (negotiable).
Questions
Do you have sample data?
Will this be part of an existing mobile app?
Should processing be cloud-based or on-device?
Looking forward to collaborating!
Best regards,
Steven