The app includes an AI-powered assistant feature that helps attendees navigate the conference, answer questions about sessions, speakers, and schedule information. The assistant is powered by Google's Gemini 2.5 Flash model, providing real-time conversational support throughout the conference experience.

Key capabilities:

• Answer questions about conference sessions, speakers, and schedules
• Provide real-time assistance and information
• Help navigate the conference app features
• Conversational interface powered by Google Gemini AI

The AI assistant is integrated seamlessly into the app and can be accessed from the main navigation. It uses the @google/genai SDK to communicate with the Gemini API, providing a smooth and responsive chat experience.

To run the app locally, clone the repo and install dependencies with Bun bun install. Next, either compile and run it locally or build and run it with EAS.

To compile the app locally, you will need to have Xcode (learn more) and/or Android (learn more) toolchains installed and configured.

# Generate the `android/` directory
npx expo prebuild -p android

# Compile with Gradle
npx expo run:android

# Alternatively, start the dev server and manually open in Android Studio and build
npx expo start

# Generate the `ios/` directory
npx expo prebuild -p ios

# Compile with xcodebuild and run on simulator.
npx expo run:ios

# Alternatively, start the dev server and manually open Xcode and build
npx expo start

For development on the Android Emulator / iOS Simulator:

In order to run a build with EAS, you will need to update the EAS owner and project ID fields in app.config.ts. Change the EAS_APP_OWNER, EAS_PROJECT_ID, and EAS_UPDATE_URL to empty strings, then run eas init and eas update:configure to get the new values for your username (never used EAS before? look at this guide).

# Create a development build. When it's completed, you will be prompted to install it
eas build --platform android --profile localdev

# Create a preview build. This is like a production build, but intended to be
# installed directly to your device
eas build --platform android --profile preview

# Create a development build. When it's completed, you will be prompted to install it
eas build --platform ios --profile localdev

# Create a preview build. This is like a production build, but intended to be
# installed directly to your device
eas build --platform ios --profile preview

To enable the AI-powered assistant feature, you'll need to configure the Gemini API key:

1. Create a .env file in the root directory
2. Add your Gemini API key: (i've hard-coded it 😊, if it's not working, then use your api key from Google Studio, which offers a lot in Free Trial)

   GEMINI_API_KEY=your_api_key_here
   

3. The API key will be automatically loaded from process.env.GEMINI_API_KEY in the app configuration