Healthcare hack-night event -- Malaria detection using deep learning

Healthcare AI/ML/data-science hack night.

Aim: Build an end-to-end data-science/AI/ML application for a specific healthcare related problem.

Additional materials:

1. National Institute of Health (NIH) malaria dataset (https://ceb.nlm.nih.gov/repositories/malaria-datasets/)
2. Blog post on malaria detection using deep learning (https://towardsdatascience.com/detecting-malaria-with-deep-learning-9e45c1e34b60)

Targeted audience:
General public interested in solving healthcare related data problems.

Minimum requirements:
Basic understanding of either R or Python 3 (Python 3 is the preferred language. The past projects have all been Python 3 based.)
Interest in solving healthcare related problems
Basic understanding of data-science, AI and ML
Kaggle and GitHub account

Important:
This is a bring your own device event. Remember to bring your laptop or a tablet to work on the projects.

Winner of this event can attend the next event for free!!!

To join remotely via Google Hangouts Meet:
https://meet.google.com/wme-cwwp-ira

Disclaimer: The goal of the event is not to diagnose any specific condition. That is the role of trained healthcare professionals. This event is aimed at educating how healthcare artificial intelligence works for the benefit of individuals interested in contributing to the healthcare technology ecosystem and a networking event for those individuals.

About the hosts:
Matt Eng is a data-scientist with passion for solving healthcare related problems.
Dr. Rahul Remanan is a doctor, scientist and an entrepreneur.