Detecting Severity and Source of Skin Burn Through Image Detection

This Omdena Local Chapter Challenge runs for 6 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Berlin, Germany Local Chapter.

The problem

The medication for Burns depends upon the severity and source of the burn. Thus, proper classification of the burns according to the severity and source can be very useful in terms of medical perspective. This will ensure, that correct medical treatment is given to the patient on time.

The Problem Statement is about the most optimal prediction of Severity (1st degree, 2nd degree, 3rd degree) and Source (boiling water, electricity, UV rays) of Burns. The model can provide immediate data about the patient’s burn and help them take the right decisive actions on time.

The goals

• Create a Model that accurately detects the source and severity of the burn. 
• Build a website or application which can be used by any person or victim. 
• Making the collaborators learn new skills and advance into data science and Artificial Intelligence. 
• Making inexperienced people get hands-on with Neural Networks, Image Recognition, and the Medical field as well.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work