NEUROPACE-AI

This app provide clinically guided interventions to patients facing neuro-somatic conditions, or cognitive fatigue

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NeuroPace AI - Concussion Recovery Companion

Real-Time Neuro-Somatic Bio-Pacing & Autonomic Regulation Dashboard

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Project Overview

NeuroPace AI is an intelligent, browser-based web application designed specifically for concussion recovery. It combines:

  • AI-Powered Cognitive Pacing Tracker
  • Oculomotor Therapy System: Interactive HTML Canvas exercises for eye-tracking rehabilitation
  • Data Visualization: Real-time symptom tracking with Chart.js graphs
  • Accessibility-First Design: Dark-mode, low-blue-light UI optimized for sensitive post-concussion eyes
  • Analyzes daily sleep, screen time, hydration, and symptom metrics via Google Gemini API
  • Interactive Bio-Pacing Suite: Delivers step-by-step vagus nerve resets, oculomotor shifts, and diaphragmatic breathing exercises with live visual cues.
  • Browser LocalStorage (100% client-side, privacy-first)

The Problem

Individuals with neuro-somatic conditions, autonomic dysfunction, or cognitive fatigue frequently experience sudden physiological crashes due to improper pacing. Providing clinically guided interventions when acute cognitive overwhelm or autonomic strain occurs.

  • Patients often push too hard during recovery, worsening symptoms
  • Patients struggle to track symptom patterns themselves
  • Privacy concerns: Medical data should stay on user's device

Tech Stack

  • HTML, CSS3 (Custom Dark/Light Themes), JavaScript
  • Google Gemini API (gemini-3.6-flash),
  • Chart.js

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Results

NeuroPace AI bridges the gap between passive tracking and active recovery. It combines health metrics engine with an interactive somatic pacing suite.Results: Users reduce sensory fatigue, lower autonomic hyperarousal, and maintain sustainable daily energy reserves through structured clinical feedback.

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Updates

posted an update —

How to run it: *You need a Google Gemini API Key. Get one from Google AI Studio. Open app.js in your code editor, locate the configuration variable near the top, and add your API key:

// app.js
const GEMINI_API_KEY = "YOUR_GEMINI_API_KEY_HERE";

Run the Application Launch index.html using a local web server (such as VS Code's Live Server extension) or via python:

python -m http.server 8000

Navigate to http://localhost:8000 in your web browser.

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Submission history