Divya - Building Apps, Connecting People

AI is moving from the cloud to your device's chip. Google's Gemini Nano - a lightweight LLM running entirely on-device, brings AI inference directly to Android. No network calls. No latency. No data leaving the device.

⚡ Why This Changes Everything

⚡
Sub-second responses → perfect for chat, smart replies, content summaries
🔌
Works offline → features run without connectivity
🔒
Privacy-first architecture → user data stays on device
🔋
Battery-optimized → designed for mobile constraints via AICore API

🧩 How to Build With It

Google's AICore Service gives you direct access to Gemini Nano for text inference:

val request = AiTextRequest(
    prompt = "Summarize this conversation:"
)
val result = aiCore.generateText(request)
Log.d("AIResult", result.text)

✅ No API keys
✅ No cloud dependencies
✅ Just local AI

💡 Build This Today

Smart reply generation for messaging apps
On-device caption summaries for video content
Context-aware assistants (“Driving detected—launch navigation?”)
Private, offline translation for short-form text

🎥 Quick Demo

Watch Gemini Nano generate smart replies in real-time, completely offline

🎯 The Bottom Line

Gemini Nano puts privacy-preserving intelligence directly in users' pockets.

Fast. Private. Offline-capable.

This is the shift from cloud-first AI to edge-first AI.

If 2023 was “AI everywhere,” 2025 is “AI right here.”

🧩 Key Takeaways

✅ Gemini Nano brings LLM inference on-device
✅ AICore API provides easy integration
✅ Perfect for smart replies, summaries, and context-aware features
✅ Works completely offline with zero latency
✅ Privacy-first: no data leaves the device

🔗 Learn More

Want to dive deeper into Gemini Nano and on-device AI?

Android AI Documentation →