Sepehr Kalantari Soltanieh

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PharmaED — AI-Powered Medication Scanning MVP

An MVP system that extracts structured data from medication packaging using image processing and delivers it in real time.

PharmaED is a minimum viable product that uses image processing to extract structured information from medication packaging. It integrates camera input, backend processing, and real-time output delivery into a single pipeline.

Tech Stack

PythonOpenCVImage Processing

Features

Image capture pipeline from live camera input
Backend image processing to extract structured medication data
Real-time output delivery to the client interface
End-to-end integration from capture to structured data output

Challenges

Handling varied packaging layouts, fonts, and print quality in the extraction pipeline.
Minimising latency between image capture and structured data output.
Building a robust MVP pipeline without over-engineering the early-stage product.

Learnings

Applied image processing techniques for real-world OCR and data extraction.
Experience designing lightweight, end-to-end ML/CV pipelines.
MVP mindset: shipping a working system quickly and iterating based on results.

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Sepehr Kalantari Soltanieh