Autism Diagnosis Predictive Model Web App + Associated Model Training

Link to Data: https://www.kaggle.com/datasets/andrewmvd/autism-screening-on-adults

Link to More Information on Data: https://docs.autismresearchcentre.com/tests/AQ10.pdf

Getting Started

This project contains two main components: a web application for autism diagnosis prediction asking AQ-10 diagnostic questions and a Jupyter notebook for model training and analysis based on 400+ previous responses and diagnosis utilizing the AQ-10 survey.

📋 Prerequisites

• Python 3.7 or higher
• pip package manager
• Git (for cloning the repository)

🌐 Web Application Setup

The web application provides an interactive interface for autism diagnosis prediction.

Installation Steps

1. Navigate to the web application directory:

   cd WebApp

2. Create a virtual environment:

   python -m venv venv

3. Activate the virtual environment:

   • Windows:

     venv\Scripts\activate

   • macOS/Linux:

     source venv/bin/activate

4. Install dependencies:

   pip install -r requirements.txt

5. Run the application:

   python app.py

6. Access the application: Open your web browser and navigate to: http://127.0.0.1:5000

Stopping the Application

• Press Ctrl+C in the terminal to stop the server

📊 Jupyter Notebook Setup

The notebooks contain exploratory data analysis (EDA) and machine learning model training code.

Installation Steps

1. Navigate to the model training directory:

   cd ModelTraining

2. Create a virtual environment:

   python -m venv venv

3. Activate the virtual environment:

   • Windows:

     venv\Scripts\activate

   • macOS/Linux:

     source venv/bin/activate

4. Install dependencies:

   pip install -r requirements.txt

5. Start Jupyter Notebook:

   jupyter notebook

6. Open the analysis notebook: In the Jupyter interface, navigate to and open: Autism Diagnosis EDA and Prediction Model.ipynb

App Screenshots (Web)

App Screenshot (Mobile)