Mobile AI: iOS CoreML, Android TFLite, on-device inference, ONNX, TensorRT, and ML deployment for smartphones.
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Updated
Nov 10, 2025 - Python
Mobile AI: iOS CoreML, Android TFLite, on-device inference, ONNX, TensorRT, and ML deployment for smartphones.
Production Android AI with ExecuTorch 1.0 - Deploy PyTorch models to mobile with NPU acceleration and 50KB footprint
Benchmark comparing TFLite, ONNX Runtime & PyTorch Mobile on MobileNet-V2 across Android and Raspberry Pi 4 edge devices.
Offline AI crop disease detector for Arm smartphones. INT8 MobileNetV2 (2.35 MB) accelerated via Arm NEON SIMD + XNNPACK. Sub-15ms inference, 98.3% accuracy, 9 plant diseases, bilingual English/Urdu guidance. 100% on-device — zero internet permissions.
Real-time bidirectional sign language translation app with MediaPipe hand landmark extraction, BiLSTM sequence models, and PyTorch Mobile.
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