ADE: ADHD prediction from everyday information

ADE stands for ADHD prediction from Everyday information. To help guide teachers making better decision for prescreening their students at the risk of ADHD, we proposed ADE utilizes everyday information to evaluate the
risk of ADHD without requiring hard-to-collect information like biospeciesman.

Requirements

• Anaconda
• Python >=3.8

# Creating conda environment
conda create -n ADE python=3.8

# Activiate conda environment
conda activate ADE

# Installing dependencies
pip install -r requiments.txt

Instructions

You can easily deploy our ADE app in your server by simply running the command below. By default, the app is running at the 8501 port.

streamlit run app.py