I will develop a custom Android AI application using Flutter, Dart, Python, and machine learning technologies.
I specialize in building practical AI-powered mobile applications for image classification, object detection, semantic segmentation, and image analysis. I can integrate trained AI models into Android applications and create clean, responsive, and user-friendly interfaces.
My previous project, TerraSeg, is an on-device satellite image segmentation application that uses the DeepLabV3-ResNet50 model to classify satellite and aerial images into seven land-use categories. The application supports offline inference, original and mask views, adjustable overlay opacity, color-coded legends, and pixel distribution statistics.
Services include:
• Custom Android AI application development
• Flutter and Dart development
• AI model integration
• Image classification applications
• Object detection applications
• Semantic segmentation applications
• On-device and offline AI inference
• Image upload and prediction features
• Clean and responsive mobile UI
• Python, PyTorch, TensorFlow, and OpenCV integration
• Basic testing and documentation
I focus on reliable implementation, organized source code, practical functionality, and clear communication. You can provide your trained model, dataset, research paper, design, or application requirements.