Project Overview
Autism Detect is an innovative tool designed to assist in the early detection of Autism Spectrum Disorder (ASD) in children using advanced AI algorithms.
Features
- Early Detection: Uses AI to analyze data and detect signs of ASD in children.
- Assessment Forms: Provides standardized assessment forms for parents and caregivers.
- Real-Time Analysis: Processes data in real-time to provide immediate feedback.
- Resource Recommendations: Offers resources and recommendations for further evaluation and support.
Implementation
Frontend
- Framework: React.js
- Styling: CSS and Material-UI for a modern and user-friendly interface.
- API Calls: Axios for making HTTP requests to the backend.
Backend
- Framework: Python with FastAPI for data processing and analysis.
- AI/ML: Utilizes machine learning models for analyzing assessment data and detecting signs of ASD.
- Database: NoSQL database to store assessment data and results.
Approach
- Setup: Initialized the project with Create React App for the frontend and set up FastAPI for the backend.
- Design: Developed reusable components for assessment forms, analysis results, and resource recommendations.
- AI Integration: Implemented machine learning models to analyze data and detect signs of ASD.
- State Management: Used Redux to manage the global state, including user data and analysis results.
- Testing: Conducted thorough testing to ensure all features work seamlessly across different devices and screen sizes.
Problem Solved
Autism Detect provides an accessible and efficient tool for the early detection of ASD, helping parents and caregivers seek timely support and intervention for children showing signs of autism.