# NeuroAssist

Canonical URL: http://localhost:3000/building/neuroassist
Published: 2026-09-22
Updated: 2026-09-22
Language: en

A machine-learning web application for neurological screening research.


## The project

NeuroAssist is a neurological assessment and support prototype. Its [public repository](https://github.com/Krishnan9074/NeuroAssist) describes a symptom input flow: an AI model offers a preliminary assessment, while disorder-specific machine-learning models provide a second response. The project documentation names XGBoost and scikit-learn for this work, alongside a React interface and Flask backend.

## Guidance workflows

The repository also documents Gemini-based assessment flows for autism, OCD, and dyslexia, Clerk authentication, a support chatbot, and video recommendations. These are project features, not evidence that the assessments are clinically effective. The README describes more than one technical configuration, so the exact relationship between the Flask/XGBoost flow and the Vite/Gemini flow remains unclear from public documentation.

## Scope of the public record

Clinical validation, dataset details, diagnostic accuracy, and regulatory status have not been supplied. The site presents the project as a prototype, not as medical advice or a validated diagnostic system.

## Further documentation

The source repository is public. Model evaluation results and a verified project history are still needed for stronger claims.