Intelligent Autism Spectrum Disorder Detection Using Machine Learning Models

This project pioneers a revolutionary approach to predict Autism Spectrum Disorder (ASD) using advanced machine learning techniques. Implemented in Python through platforms like Jupyter Notebook or Google Colab, the project aims to craft an efficient and precise predictive model for early ASD detection. The primary objective is to develop a tool that facilitates early identification of ASD, enabling timely interventions and support for individuals on the autism spectrum. By harnessing machine learning methodologies, this project aspires to significantly enhance the quality of life for individuals with ASD through early recognition and intervention.