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SynapseUX - AI-Powered Healthcare UX Optimization Platform 🏥🤖

GitHub Python React

Predict UX friction before it impacts patients | HIPAA/GDPR Compliant | 40% Faster Design Cycles


Overview 📖

SynapseUX is an AI-driven platform that transforms healthcare UX design by:

  • Predicting user friction points in digital interfaces (patient portals, EHR systems)
  • Automating compliance checks (WCAG 2.1, HIPAA-ready designs)
  • Translating Figma designs to production-ready code with 90% accuracy
  • Quantifying UX impact on clinical outcomes (reduced bounce rates, improved task completion)

Built for designers, developers, and healthcare compliance teams working with sensitive medical data.


Key Features 🚀

Feature Description Tech Used
AI Research Assistant Auto-summarizes user interviews/usability tests GPT-4, BART-Large
Compliance Guardian Real-time accessibility/HIPAA audits TensorFlow, WCAG API
Code Translator Converts Figma → React/HTML with ARIA tags Figma API, React
Predictive Dashboard Flags high-risk UX elements pre-launch PyTorch, D3.js
Collaboration Hub Syncs designers/devs with version-controlled feedback Jira/Confluence API

Tech Stack 💻

Backend
Python Flask PostgreSQL

Frontend
React Tailwind CSS

AI/ML
TensorFlow SHAP

Infrastructure
AWS GovCloud Docker


Getting Started 🛠️

Prerequisites

  • Python 3.9+
  • Node.js 18+
  • AWS Account (GovCloud recommended)

Installation

# Clone repository
git clone https://github.com/Evenir1/SynapseUX.git
cd SynapseUX

# Install backend dependencies
cd backend
pip install -r requirements.txt

# Install frontend dependencies
cd ../frontend
npm install

# Start development servers
npm run dev & flask run --port 5000












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Designers cited repetitive tasks like synthesizing research insights, requirement gathering, and accessibility checks.

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