NeuroAssist
A neurological assessment and support prototype combining symptom-based AI guidance, disorder-focused machine-learning models, a chatbot, and educational resources. Clinical validation is not documented.
The project
NeuroAssist is a neurological assessment and support prototype. Its public repository 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.
Current status
Research project; clinical validation has not been supplied.
XGBoost · Gemini AI · React · Clerk · Educational resources