RevolutAging - AI Companion for Seniors

A compassionate AI companion application designed specifically for seniors, featuring empathetic chat, health monitoring, caregiver alerts, and voice-first accessibility.

Try RevolutAging Live | View Demo

🌟 Features

• 🧠 Empathetic AI Companion: Natural conversation with memory and emotional intelligence
• 📊 Health Dashboard: Visual tracking of sleep, activity, mood, and vital signs
• 👩‍⚕️ Smart Caregiver Alerts: Intelligent monitoring with severity-based notifications
• 🎙️ Voice-First Interface: Large buttons, clear audio feedback, speech recognition
• 💡 Senior-Friendly Design: High contrast, large text, accessible navigation
• 🔐 Privacy-First: Secure data handling with Firebase Authentication and Firestore.
• 💊 Medication Tracking: Manage medications with photo uploads.

🚀 Quick Start

Prerequisites

• Node.js 18+
• npm or yarn package manager
• Firebase Account and Project

Installation

1. Clone the repository:

   git clone https://github.com/yosephdev/revolutaging.git
   cd revolutaging

2. Install dependencies:

   npm install

3. Set up Firebase:

   • Create a new project on the Firebase Console.
   • In your project, create a new Web App.
   • Copy the firebaseConfig object from your project settings.
   • Create a new file src/lib/firebase.ts and add your firebaseConfig to it.

4. Start the development server:

   npm run dev

The application will be available at http://localhost:5173

Build for Production

npm run build
npm run preview

🏗️ Architecture

Frontend Stack

• React 18 - Component-based UI framework
• TypeScript - Type-safe development
• Tailwind CSS - Utility-first styling
• Vite - Fast build tool and dev server
• Shadcn/UI - Accessible component library
• Recharts - Data visualization

Backend

• Firebase - Authentication, Firestore Database, and Storage

📁 Project Structure

src/
├── components/          # Reusable UI components
│   ├── ui/             # Shadcn/UI base components
│   ├── AICompanion.tsx # Main chat interface
│   ├── HealthDashboard.tsx # Health metrics visualization
│   ├── CaregiverAlertSystem.tsx # Alert management
│   └── ...
├── hooks/              # Custom React hooks
│   ├── useAuth.ts      # Firebase authentication hook
│   ├── useVoiceCommands.ts # Speech recognition logic
│   └── use-toast.ts    # Toast notifications
├── lib/
│   ├── firebase.ts     # Firebase configuration
│   └── utils.ts
├── services/           # API integration layer
│   └── api.ts          # Firebase service calls
├── pages/              # Route components
│   ├── Index.tsx       # Main application page
│   ├── MedicationPage.tsx # Medication tracking page
│   └── auth/
│       └── LoginPage.tsx # Login and registration page
└── types/              # TypeScript type definitions
    └── speech.d.ts     # Web Speech API types

🔮 Roadmap

• TensorFlow health analysis integration
• Advanced voice conversation
• Video calling for family
• Medication tracking with photos
• Emergency contact automation
• Multi-language support

🤝 Contributing

This project is designed for easy backend integration. Key integration points:

1. API Layer: The mock API in /src/services/api.ts has been replaced with Firebase services.
2. Data Models: TypeScript interfaces are used for all data models.
3. Authentication: Firebase Authentication is used for user login and registration.
4. Real-time: Firestore provides real-time data for alerts and other features.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.