AI-Powered Mobile

Intelligent Mobile Apps

Build mobile applications with on-device machine learning, computer vision, natural language processing, and context-aware intelligence that works even offline.

35+ AI Mobile Apps
On-Device ML Inference
60fps Smooth AI UX
ai-mobile.app/features
ML Features
Vision
NLP
On-Device
Vision
Voice
Context
On-Device ML Status
Object detection Active
Speech recognition Ready
Gesture tracking Beta
Inference
12ms
Accuracy
97.3%
35+
AI Mobile Apps
On-Device
ML Processing
Offline
AI Capable
60fps
Smooth Performance
import 'package:tflite_flutter/tflite.dart';

class SmartCamera {
  late Interpreter _model;

  Future<void> init() async {
    _model = await Interpreter
      .fromAsset('model.tflite');
  }

  List<Detection> detect(CameraImage img) {
    var input = preprocess(img);
    _model.run(input, output);
    return postprocess(output);
  }
}
Flutter + TensorFlow Lite

On-Device ML with Flutter

We integrate TensorFlow Lite models directly into Flutter applications for real-time object detection, image classification, and pose estimation — all running on-device with zero latency and full offline capability.

  • TensorFlow Lite for on-device inference
  • Real-time camera-based ML processing
  • Model optimization with quantization
  • Cross-platform iOS and Android support
import { useTensorflow } from
  'react-native-tensorflow';

const SmartScanner = () => {
  const { model, predict } =
    useTensorflow('detect.tflite');

  const onFrame = async (frame) => {
    const results = await predict({
      input: frame.data,
      threshold: 0.8,
    });
    setDetections(results);
  };
};
React Native + ML

React Native AI Integration

Bring TensorFlow Lite models into React Native apps for intelligent barcode scanning, document recognition, and augmented reality experiences. Native bridge modules ensure GPU-accelerated inference at 60fps.

  • Native module bridges for GPU acceleration
  • Camera frame processing in real time
  • Custom hooks for ML model lifecycle
  • Hot-updatable model weights via OTA
Technology Stack

Mobile AI Ecosystem

Flutter Flutter
React Native React Native
Core ML
TF Lite TF Lite
Firebase ML Firebase ML
ARKit

Ready to Build an Intelligent Mobile App?

From on-device ML to AR-powered experiences, our team builds mobile apps with intelligence baked into every interaction.

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