SociaLite is an Android sample application demonstrating modern Jetpack API usage for building social networking features. It targets Android developers looking to implement complex functionalities like media handling, real-time chat, and AI-powered responses with less code and broader device compatibility. The app showcases declarative UI with Compose, media playback with Media3, camera integration with CameraX, local data persistence with Room, and foldable device awareness with Window.

How It Works

The app leverages a suite of Jetpack libraries to provide a robust foundation for social app features. It utilizes Compose for a declarative UI, Media3 for media playback and editing, CameraX for camera capture, Room for local SQLite persistence, and Window for handling window states, particularly on foldable devices. The integration of the Gemini API via the Google AI Client SDK enables chatbot functionalities, allowing animal avatars to respond to user messages.

Quick Start & Requirements

• Clone the repository and open in Android Studio.
• For Gemini API integration: Obtain a Gemini API key from Google AI Studio and add it to local.properties as API_KEY.
• Sync and run the app configuration.

Highlighted Details

• Demonstrates Core, Compose, Media3, CameraX, Room, and Window Jetpack APIs.
• Integrates Gemini API for AI chatbot capabilities.
• Features include a Timeline, Chat List, Chat, Camera, and Video Edit screens.
• Supports notifications for AI replies even when the app is in the background.

Maintenance & Community

This is an official Android sample app, indicating potential backing from the Android Open Source Project team. Contributions are welcomed via pull requests, with a requirement to run ./gradlew spotlessApply before submission. Issues can be reported directly in the repository.

Licensing & Compatibility

Licensed under the Apache License, Version 2.0. This license permits commercial use and linking with closed-source projects.

Limitations & Caveats

The Google AI client SDK for Android is recommended for prototyping only; Vertex AI for Firebase is suggested for non-prototyping use cases. The sample is noted as being in the early stages of development with more features planned.