Challenge 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.
Goal of the project
- Exploratory Data Analysis
- Train ML model to predict Autism.
- Use explainability to identify the reason behind predictions.
- Write a research paper.
Project timeline
- 1
Week 1
Exploratory Data Analysis
- 2
Week 2
Train Classical ML Models
- 3
Week 3
Train Deep Learning ML Models
- 4
Week 4
Analyze results including Explainability and bias analysis
- 5
Week 5
Write a research paper based on the results
- 6
Week 6
Write a research paper based on the results
What you'll learn
EDA, Machine Learning, Deep Learning, Explainable AI, Writing Research Papers