Predicting Autism in Toddlers Through Machine Learning

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 the Omdena Colombo, Sri Lanka Chapter.

The problem

Current screening processes incur costs and require expertise. Therefore, this project will apply ML to predict and screen autism in children using a simple set of parameters reducing the cost and expertise needed.

The goals

• Exploratory Data Analysis.
• Train ML model to predict Autism in toddlers.
• Use explainability to identify the reason behind predictions.
• Write a research paper

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