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A technical deep dive into how we built a cloud-native system that transforms handwritten prescriptions into structured medication information
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AushadhiAI is an innovative solution that leverages artificial intelligence and Azure Computer Vision to decode doctors' handwritten prescriptions, making medication information accessible and understandable for patients. This technical deep dive explores the architecture, implementation details, and key features of the AushadhiAI system.
AushadhiAI employs a modern, scalable architecture that separates frontend and backend concerns while leveraging cloud services for advanced AI capabilities.
The backend is built with FastAPI, a modern, high-performance web framework for building APIs with Python. It provides several key endpoints:
The prescription analysis workflow involves several steps:
The frontend provides an intuitive interface for users to upload and analyze prescriptions:
The interface includes:
AushadhiAI is deployed using a modern cloud-based infrastructure:
The system uses Azure Computer Vision API for high-quality OCR, with a fallback mechanism for offline operation:
The system identifies medications using a combination of techniques:
The system is designed with robust error handling:
The most computationally intensive parts of the system are:
Key security considerations:
The system is designed for extensibility, with planned enhancements:
AushadhiAI represents a powerful application of AI technology to solve real-world healthcare challenges. By combining Azure Computer Vision's advanced OCR capabilities with custom medication identification algorithms, the system effectively bridges the gap between handwritten prescriptions and patient understanding.
The architecture balances performance, reliability, and user experience, with careful consideration given to fallback mechanisms that ensure the system remains functional even when cloud services are unavailable.
Through its modern deployment architecture and thoughtful technical implementation, AushadhiAI demonstrates how cloud-native applications can deliver meaningful solutions to everyday problems.
