AI Mobile App Development

What this service covers

I engineer intelligent mobile applications that combine native 60–120 FPS Flutter performance with production AI capabilities. From on-device quantized models (Gemma 2 via LiteRT) with zero latency to cloud-connected LLM agents (OpenAI, Gemini), speech-to-text voice interfaces, and camera OCR pipelines, I handle the full lifecycle from prompt engineering and latency optimization to store compliance.

What I provide

• On-device local LLM execution using Google LiteRT and Gemma 2
• Cloud LLM integrations (OpenAI GPT-4o, Google Gemini Flash)
• Autonomous tool-calling, agent workflows, and structured JSON output
• Real-time voice processing: Whisper STT and natural ElevenLabs TTS
• Computer vision, camera OCR, and generative image pipelines
• Offline fallback strategies and privacy-first local data boundaries

Typical delivery process

1. 1

   Evaluate latency, accuracy, cost, and privacy trade-offs (on-device vs cloud)

2. 2

   Design structured prompt schemas, streaming state machines, and error fallbacks

3. 3

   Implement responsive Flutter interfaces with smooth streaming responses

4. 4

   Benchmark token consumption, battery impact, and Apple/Google store compliance