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Healthcare

Parkinson's Symptom Tracker

An AI-enabled platform for tracking symptoms and viewing longitudinal health trends.

ReactNode.jsFirebaseData Visualization

Impact

Supports more than 300 active users with ongoing symptom monitoring.

Project Overview

A health tracking platform enabling individuals with Parkinson's disease to log symptoms, view trends over time, and share insights with care providers.

Client Challenge

Patients needed a simple way to track fluctuating symptoms over time, but existing tools were either too complex or lacked meaningful visualization of longitudinal data.

Users and Requirements

Individuals with Parkinson's disease, caregivers, and healthcare providers who benefit from structured symptom data and trend visualization.

Proposed Solution

A responsive web platform with intuitive symptom logging, visual trend charts, and secure data storage with export capabilities for healthcare visits.

Architecture

React SPA with Firebase authentication and Firestore database, Node.js backend for data processing, and D3/Recharts for health trend visualization.

Development Process

User research with patients and caregivers, iterative UI design focused on accessibility, beta testing with a patient community, and continuous feature refinement based on feedback.

Results and Impact

More than 300 active users tracking symptoms regularly, improved patient-provider communication through structured data, and positive feedback on ease of use.

Screenshots

Lessons Learned

  • Accessibility is non-negotiable in health applications
  • Simple input methods increase consistent usage
  • Longitudinal views provide the most value to users
  • Privacy and data security build essential trust

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