Predicting Autism in Toddlers through Machine Learning

Local Chapter Colombo, Sri Lanka Chapter

Coordinated bySpain ,

Status: Completed

Project Duration: 22 Jan 2023 - 26 Feb 2023

Open Source resources available from this project

Project background.

Nearly 1% of the population globally sufferers from Autism. Autism is a lifelong battle and early detection of autism can cure or help to manage the condition better. Therefore, a autism prediction model can help both child and parents to have better quality of life.

The problem.

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

Project goals.

1. Exploratory Data Analysis 2. Train ML model to predict Autism. 3. Use explainability to identify the reason behind predictions. 4. Write a research paper.

Project plan.

  • Week 1

    Exploratory Data Analysis

  • Week 4

    Analyze results including Explainability and bias analysis

  • Week 5

    Write a research paper based on the results

  • Week 6

    Write a research paper based on the results

Learning outcomes.

EDA, Machine Learning, Deep Learning, Explainable AI, Writing Research Papers

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