Omdena Chapter Page: Morocco

Omdena Morocco Chapter - Omdena Chapters
Completed Project(s)

1. Building Open Source NLP Libraries & Tools for the Arabic Language

The problem

1. Arabic is the 5th most spoken language in the world and the 1st language of the Arab world countries, making it extremely important worldwide.

2. Arabic is grammatically complex and has free order properties, which all pose significant challenges in Arabic NLP applications.

3. There are 3 types that characterize Arabic, including Classical Arabic, Modern Standard Arabic & Dialect Arabic.

4. Tools built by big tech and accessible to the majority of the world are limited to translating only a few of the most popular languages.

The Project Outcomes

The envisioned deliverables can be broken down into two main areas:

1. Build open-source Arabic NLP libraries for sentiment analysis, morphological modeling, dialect identification, and named entity recognition

2. Build 5:8 core functions to support Arabic NLP (lemmatization, stop words, tokenizing text, word embedding, part of speech tagging.. etc.) like NLTK but for Modern Standard Arabic.

Source Code:https://github.com/OmdenaAI/Arabic-Chapter

Demo:https://www.youtube.com/watch?v=PaWCX2IG7eo

 

2. Providing ElectroCardioGram (ECG) interpretation using computer vision, to help reduce heart attacks deaths

The Problem

The objective of the project is to use the ECG data to build a computer vision system that will be able to learn from cardio specialist doctors to perform the classification of a new patient based on his/her ECG image. Providing ElectroCardioGram (ECG) interpretation to general doctors on time using AI (Computer vision) will enable them to properly assess the patient and alert them in case of heart attack symptoms. This is extremely helpful in regions where medical staff is limited and access is very difficult.

This solution has the potential to serve a large population in the rural regions in Morocco but also for other African countries lacking such specialties.

The Project Outcomes

The participants will be able to apply AI for one of the most recurrent scenarios in Healthcare and could be also extending the case study to other radio diagrams or patient imagery data. E-health is just starting to develop AI and thus the project will bring a big opportunity to practice and increase the impact.

1. Understanding Medical Image Data

2. Image Processing

3. Image Classification & Segmentation

3. Computer Vision Models

Web Application Link: ECG Web App

Source Code: https://github.com/OmdenaAI/omdena-morocco-heartrisk

We will be running an AI project soon…. Stay Tuned!

Morocco Chapter Lead

 

Naoufal Rahali

AI Enthusiast

Naoufal is computer engineer with large experience in international HR management. Passionate about the impact of AI and ML in our daily life he’s working to make this field accessible for people and business to make a positive impact.