I will integrate efficient on device ai into your hybrid android and ios


About this gig
Unlock true performance with on-device AI in your hybrid mobile app
I specialize in integrating efficient, privacy-first AI models directly into your React Native, Flutter, or other hybrid mobile apps with full offline capabilities for both Android and iOS.
Whether you're building a smart camera app, a voice assistant, or an intelligent document scanner, I'll help you leverage lightweight, mobile-ready AI models (like TensorFlow Lite, Core ML, or Gemma 3n) optimized for fast, real-time inference right on the user's device.
What I Offer:
- On-device AI integration (image, audio, or text-based models)
- Mobile-optimized AI (INT8 / FP16 quantization)
- React Native / Flutter compatibility
- Full offline capability no internet required
- Core ML (iOS), TensorFlow Lite (Android), and cross-platform deployment
- Clean UI hooks + documentation for smooth handoff
Popular Use Cases:
- Object & face detection
- Text recognition & classification
- Audio keyword spotting
- Offline chatbots (small LLMs)
- Pose detection & AR/VR apps
Why Work With Me?
With 7+ years in mobile and AI development, I ensure models are fast, accurate, and battery-friendly, tailored to your app's UX and performance needs.
Get to know Naseer Ahmad
Full Stack Developer and Solution Provider
- FromPakistan
- Member sinceApr 2017
- Last delivery3 years
Languages
Urdu, English
FAQ
Can you customize or train a model for my data?
Yes—I can fine-tune or train models (e.g., via TensorFlow Lite Model Maker, AutoML Vision Edge) and convert them into optimized mobile formats.
Do these models work offline?
Absolutely—all runs locally on the device with no internet needed once integrated. This ensures low latency and better privacy.
Which frameworks do you support?
React Native, Flutter, Ionic, Capacitor, or similar. I deliver with clean modules for easy integration.
Can you help with custom-trained models?
Yes! I can help you convert or integrate your custom model using TensorFlow Lite, Core ML, or ONNX. I can also advise on lightweight alternatives.
What types of AI models can you integrate?
I can integrate models for image recognition, text classification, speech/voice commands, object detection, pose tracking, and more.
Will this affect app performance or battery?
No—I'll use quantized, mobile-optimized models (like MobileNet, Gemma 3n, or YOLO Lite) to ensure smooth performance with minimal resource use.
Can you add UI components with the AI feature?
Absolutely. I can connect the model outputs to clean and responsive UI elements within your existing app screens.

