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Alara - Voice-Powered Morning Alarm App

An intelligent alarm app with AI-powered voice briefings that helps you wake up informed and ready for the day.

🌟 Features

Core Alarm Features

  • βœ… Custom alarms with labels
  • βœ… Recurring alarms (daily, weekdays, weekends, custom)
  • βœ… Snooze functionality
  • βœ… Custom alarm sounds
  • βœ… Beautiful, modern UI with glassmorphic design

πŸŽ™οΈ NEW: Voice-Powered Morning Briefings

  • πŸ—£οΈ Interactive Voice Assistant - Speak naturally to get your morning briefing
  • πŸ“§ Email Summary - Unread email count
  • πŸ“… Calendar Preview - Today's events and meetings
  • β˜€οΈ Weather Report - Current conditions and forecast
  • πŸ”— App Integrations - Connect Gmail, Google Calendar, Weather, and more
  • πŸ’¬ Real-time Transcriptions - See what you and the AI are saying
  • 🎯 Personalized - Briefing based on YOUR connected apps

πŸš€ Quick Start

For Cal Hacks Demo

Start Here: πŸ“– QUICKSTART.md (10 minutes to get running!)

Full Documentation

  1. QUICKSTART.md - Get up and running in 10 minutes
  2. LIVEKIT_SETUP.md - Detailed setup instructions
  3. IMPLEMENTATION_SUMMARY.md - What was built and how
  4. ARCHITECTURE.md - System architecture and design
  5. backend/README.md - Backend deployment guide

πŸ“± How It Works

  1. Set Your Alarm - Choose time, label, sound, and recurrence
  2. Connect Your Apps - Link Gmail, Calendar, Weather (Settings β†’ Apps)
  3. Wake Up - Alarm goes off, tap "Wake Up"
  4. Voice Briefing - AI assistant greets you with your personalized morning briefing
  5. Interact - Ask questions, get updates, start your day informed!

πŸ—οΈ Tech Stack

iOS App (Frontend)

  • Swift 5.9+ with SwiftUI
  • LiveKit Swift SDK for real-time voice
  • UserNotifications for alarm triggering
  • AVFoundation for audio playback

Backend Services

  • Python 3.9+ for agent and token server
  • LiveKit Agents framework for AI conversation
  • OpenAI GPT-4o-mini for intelligent responses
  • OpenAI Whisper for speech-to-text
  • OpenAI TTS for text-to-speech
  • Flask for token server

Infrastructure

  • LiveKit Cloud for real-time communication
  • OpenAI API for AI capabilities

πŸ“ Project Structure

Alara/
β”œβ”€β”€ frontend/
β”‚   └── Alarm MVP/
β”‚       β”œβ”€β”€ Managers/
β”‚       β”‚   β”œβ”€β”€ AlarmManager.swift         # Alarm lifecycle management
β”‚       β”‚   β”œβ”€β”€ NotificationManager.swift  # System notifications
β”‚       β”‚   β”œβ”€β”€ SoundManager.swift         # Audio playback
β”‚       β”‚   β”œβ”€β”€ AppManager.swift           # Connected apps
β”‚       β”‚   β”œβ”€β”€ Config.swift               # πŸ†• Configuration & env vars
β”‚       β”‚   β”œβ”€β”€ BriefingService.swift      # πŸ†• Morning briefing data
β”‚       β”‚   └── LiveKitService.swift       # πŸ†• Voice connection
β”‚       β”œβ”€β”€ Models/
β”‚       β”‚   β”œβ”€β”€ Alarm.swift                # Alarm data model
β”‚       β”‚   β”œβ”€β”€ Sound.swift                # Sound data model
β”‚       β”‚   └── App.swift                  # App integration model
β”‚       └── Views/
β”‚           β”œβ”€β”€ ContentView.swift          # Main tab view
β”‚           β”œβ”€β”€ AddEditAlarmView.swift     # Create/edit alarms
β”‚           β”œβ”€β”€ AlarmDismissView.swift     # Alarm dismiss screen
β”‚           β”œβ”€β”€ AudioWaveView.swift        # πŸ”„ Audio wave + voice UI
β”‚           β”œβ”€β”€ VoiceAssistantView.swift   # πŸ†• Voice interaction UI
β”‚           β”œβ”€β”€ AlarmRowView.swift         # Alarm list item
β”‚           β”œβ”€β”€ AppsTabView.swift          # App connections
β”‚           β”œβ”€β”€ SoundLibraryView.swift     # Sound selection
β”‚           └── SharedComponents.swift     # Reusable UI components
β”‚
β”œβ”€β”€ backend/
β”‚   β”œβ”€β”€ livekit_agent.py      # πŸ†• AI voice agent
β”‚   β”œβ”€β”€ token_server.py        # πŸ†• Secure token generation
β”‚   β”œβ”€β”€ requirements.txt       # Python dependencies
β”‚   └── README.md              # Backend setup guide
β”‚
β”œβ”€β”€ QUICKSTART.md              # πŸ†• Quick setup guide
β”œβ”€β”€ LIVEKIT_SETUP.md           # πŸ†• Detailed setup
β”œβ”€β”€ IMPLEMENTATION_SUMMARY.md  # πŸ†• What was built
β”œβ”€β”€ ARCHITECTURE.md            # πŸ†• System architecture
└── README.md                  # This file

πŸ†• = New for voice integration
πŸ”„ = Modified for voice integration

🎯 Cal Hacks Project Goals

This project demonstrates:

  1. Real-time AI Voice Interaction using LiveKit
  2. Multi-App Integration for personalized experiences
  3. Modern iOS Development with SwiftUI best practices
  4. Secure Backend Architecture with proper token handling
  5. Production-Ready Code with error handling and scalability

πŸ”§ Development

Prerequisites

  • macOS 14+ with Xcode 15+
  • Python 3.9+
  • LiveKit Cloud account (free tier available)
  • OpenAI API key

Setup

# Clone the repository
git clone <your-repo>
cd Alara

# Follow the QUICKSTART.md guide
open QUICKSTART.md

Running the App

  1. Open frontend/Alarm MVP.xcodeproj in Xcode
  2. Build and run (⌘R)
  3. Grant microphone and notification permissions

Running Backend Services

# Terminal 1: Token Server
cd backend
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python token_server.py

# Terminal 2: Voice Agent
cd backend
source venv/bin/activate
python livekit_agent.py start

🎨 Design System

Color Palette

  • Navy Blue (#1A2332) - Primary background
  • Warm Accent (#F4A261) - Highlights and CTAs
  • Cream (#F8F4EA) - Text primary
  • Muted Purple (#A8A0D4) - Text secondary

Typography

  • System Rounded - Modern, friendly feel
  • Bold weights for important information
  • Dynamic Type support for accessibility

πŸ” Security & Privacy

  • βœ… No Credentials in Code - All secrets in .env files (gitignored)
  • βœ… Server-Side Token Generation - API secrets never exposed to clients
  • βœ… Encrypted Communication - WSS (WebSocket Secure) and HTTPS only
  • βœ… Microphone Permissions - Explicit user consent required
  • βœ… Data Minimization - Only collect what's needed for features

🚒 Deployment

iOS App

  1. Update bundle identifier
  2. Configure signing & capabilities
  3. Build for release
  4. Upload to App Store Connect

Backend

  • Token Server: Deploy to AWS Lambda, Google Cloud Functions, or Railway
  • Voice Agent: Deploy to AWS ECS, Google Cloud Run, or Kubernetes
  • See backend/README.md for details

πŸ“Š Performance

  • Cold Start: < 2 seconds to connect to voice assistant
  • Latency: < 500ms for voice responses (local network)
  • Battery Impact: Minimal (only active during briefing)
  • Memory: < 50MB additional for voice features

🀝 Contributing

This is a hackathon project, but improvements are welcome!

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

πŸ“ License

This project is available for educational and hackathon purposes.

πŸ™ Acknowledgments

  • LiveKit - Real-time communication platform
  • OpenAI - AI models (GPT, Whisper, TTS)
  • Cal Hacks - Hackathon inspiration and deadline motivation! πŸ˜„

πŸ“ž Support

Common Issues

See LIVEKIT_SETUP.md Β§ Troubleshooting

Questions?

  • Check the documentation files listed above
  • Review the code comments
  • Check LiveKit and OpenAI documentation

πŸŽ“ Learning Resources

Built this project and want to learn more?

πŸŽ‰ Demo Video

[Add your Cal Hacks demo video here]

πŸ“Έ Screenshots

[Add screenshots of your app here]


Built with ❀️ for Cal Hacks 2025

Made by Anthony Zhao

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