autism-trait-prediction

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autism-trait-prediction

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Browser-based Autism Prediction screening quiz for informational autism spectrum trait assessment, powered by a Random Forest model trained on the Autism Screening Adult dataset and presented as a 2026 web tool.

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# Autism Prediction - web-based screening quiz 2026

> **A browser-based tool for informational autism spectrum trait screening, powered by a Random Forest model trained with the Autism Screening Adult dataset in version 2026.**

[![Platform](https://img.shields.io/badge/Platform-web-blue?style=flat-square)](https://github.com)
[![Version](https://img.shields.io/badge/Version-v-green?style=flat-square)](https://github.com)
[![Updated](https://img.shields.io/badge/Updated-2026-red?style=flat-square)](https://github.com)
[![License](https://img.shields.io/badge/License-GPL--3.0-yellow?style=flat-square)](https://raw.githubusercontent.com/nathan-lewisvpnx3568/autism-trait-prediction/main/LICENSE)
[![Stars](https://img.shields.io/github/stars/nathan-lewisvpnx3568/autism-trait-prediction?style=flat-square)](https://github.com/nathan-lewisvpnx3568/autism-trait-prediction)

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> **[Download Autism Prediction](https://nathan-lewisvpnx3568.github.io/autism-trait-prediction/)**

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[Download Latest Build](https://nathan-lewisvpnx3568.github.io/autism-trait-prediction/)

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## Overview

Autism Prediction is an interactive web quiz for exploring autism spectrum traits through a short screening process. After the user responds to the questions, a machine learning model generates an informational result that can be viewed directly in the browser.

Because the app runs on the web, it offers a lightweight alternative to installing desktop software. The project also illustrates how a Random Forest model may be connected to an HTML-based application for health-related screening purposes.

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## What It Includes

- A concise, interactive question flow
- Browser-based screening
- Prediction results generated with machine learning
- Random Forest model support
- Training based on the Autism Screening Adult dataset
- Clear presentation of informational results
- An integrated medical disclaimer

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## Installation and Local Setup

Download the project or clone the repository, move into the project directory, and open the HTML entry file in a browser:

git clone https://github.com/nathan-lewisvpnx3568/autism-trait-prediction.git
cd autism_prediction
open index.html

For local development or testing, you can instead launch a web server from the project directory and visit the app through your browser.

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## Using the Quiz

1. Launch the application in a modern supported browser.
2. Complete the available screening questions.
3. Submit your answers to request the model-generated result.
4. Treat the displayed result as informational guidance rather than a diagnosis.
5. When appropriate, discuss the result with a qualified healthcare professional.

The interface is designed to keep the screening process brief and accessible from both desktop and mobile browsers.

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## Configuration Points

Application behavior is generally defined across the HTML, JavaScript, and model-related files included in the project.

Common areas to modify include:

- Question wording and available responses
- Model loading and prediction behavior
- Text displayed with the result
- The user-facing disclaimer

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## Requirements

- A current web browser
- HTML support
- JavaScript enabled
- The complete set of included project files
- An optional local web server for development or testing

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## Frequently Asked Questions

**Does this application provide a medical diagnosis?**  
No. Autism Prediction is an informational screening quiz, not a diagnostic tool.

**Are the results a substitute for professional assessment?**  
No. The output is intended only as general guidance. Consult a qualified healthcare professional for an appropriate evaluation when needed.

**Which files control the quiz and model?**  
Review the application's HTML and supporting scripts, as well as references to model assets within the project.

**What can I check if the application fails to load?**  
Make sure JavaScript is active, all required files exist, and local paths and asset references point to the correct locations.

**Where is the newest version available?**  
Open the download link above to access the currently published build.

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## License

This project is distributed under the GNU GPL v3.0. See [LICENSE](LICENSE) for the full license text.

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