EdRaak is a student based group project for the software engineering course 1 & 2 (CS290 & CS392) at ImamU. Asked to develop an educational App-like game.

GitHub Repository for the SysNDD database, web app and api used to curate gene disease relationships in neurodevelopmental disorders (NDD).

This streamlit app helps you rephrase your language for effectively communicating with kids with PDA.

Aplicação de comunicação alternativa de alta tecnologia voltada a melhorar a comunicação da criança portadora do espectro autista e sua inserção na sociedade.

Aplicação de comunicação alternativa de alta tecnologia voltada a melhorar a comunicação da criança portadora do espectro autista e sua inserção na sociedade.

Match two diagnostic groups via univariate bootstrap

Test hypotheses for two diagnostic groups via regression

🪅Visual Learning aids for Autism spectrum disorder children. Built w/ Azure OpenAI, Azure Cognitive Search, Azure AI services, FastAPI, Next.js

One repo for sharing some Chinese material about special education.

Video Classification Autism Behaviour

Android application that implements Picture Exchange Communication System (PECS) in order to support language teraphy to autism spectrum disorder (ASD) people.

Scripts used in the "Dynamic Functional Connectivity in Autism Spectrum Disorder" project.

A curated list of public figures who have been diagnosed with autism

Design and development of deep learning architecture to predict the forthcoming emotion of person

This project employs machine learning for early autism detection. Utilizing Python and SVM, it offers two models: one trained on a verified dataset for classification, and another for real-time prediction from user input, enhanced with visualizations for insightful analysis.

A curated list of awesome technologies related to Autism Spectrum Disorder (ASD)

STAR-NN： A deep neural network model to predict the risk of ASD using whole exome sequencing dataset

An autism spectrum disorder testing app attached with machine learning model and many more features.

Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical data were collected in StonyBrook Social Competence Treatment Lab, for data request evaluation please contact professor Matthew D. Lerner matthew.lerner@stonybrook.edu

🌟 Unlocking Potential with Sunny Smiles! 🧩✨ Dive into our world of innovative gaming, where neural networks meet personalized education for children with Autism Spectrum Disorder (ASD). Let's journey together towards brighter futures and empowered smiles! #AutismAwareness #Innovation #Education 🚀