ACHRAF CHAHBOUNE

Document AI Engineer

French & Arabic Document Extraction

Data Engineer - Kafka, PySpark, Airflow

PhD Candidate - Multi-Agent RL

ACHRAF CHAHBOUNE

Document AI Engineer

French & Arabic Document Extraction

Data Engineer - Kafka, PySpark, Airflow

PhD Candidate - Multi-Agent RL

PharmaFind

  • Created By: Achraf Chahboune
  • Date: 2024
  • Type: Full-Stack Web App
  • Stack: React, Tailwind, JavaScript

Finding a specific medication in Morocco often means calling pharmacy after pharmacy. PharmaFind replaces that with a single search: locate nearby pharmacies and check whether the medicine you need is actually in stock.

The application is built with React 18 and Tailwind CSS, with a fast, responsive interface designed around the Moroccan pharmacy network and structured to plug into live availability data.

It is a practical, user-facing product aimed at a real local problem – turning a frustrating phone-call hunt into an instant, reliable lookup.