On-device speech SDK for Android — ASR, TTS, VAD, and noise cancellation powered by ONNX Runtime with Qualcomm NNAPI acceleration
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Updated
Sep 6, 2026 - Kotlin
On-device speech SDK for Android — ASR, TTS, VAD, and noise cancellation powered by ONNX Runtime with Qualcomm NNAPI acceleration
DeepLab V3 TFLite models that be fully delegated to NNAPI
Run 2D convolution layer with NNAPI
Android-first React Native ONNX Runtime bindings with Nitro Modules, backend selection, tensor inference, benchmarking, and experimental QNN diffusion pipeline helpers.
This Android application demonstrates image classification using a pre-trained machine learning model to classify fruits into categories such as Apple, Banana, and Orange. The model is integrated into the app using TensorFlow Lite, with optimization for inference using NNAPI (Android Neural Networks API) for improved performance on Android devices.
Rust bindings to the Android NNAPI
Assignments Completed during CSE535:Mobile Computing Course in IIITD during Winter 2024 Semester. Professor: Arani Bhattacharya
Turn a spare Android phone into a GitHub Actions self-hosted runner — ARM64 builds and real-device NPU tests, no root, no Termux.
Low Latency Deep Learning on Smartphones using TensorFlow Lite and CoreML
Net Tools in Python: networking tool in python that allows users to read from an input file with hostname and MAC address and update the system's host file accordingly. It was built to discover, map and maintain IP-Hostname mapping in a local network.
Android dog breed classification app using Kotlin, Jetpack Compose, and TensorFlow Lite, with on-device inference and a simplified public demo UI.
On-device Android mobile app (Kotlin/Compose/CameraX/TFLite/Room DB) for estimating postpartum blood loss using color-calibrated reference cards.
Offline Android audio/video transcription with sherpa-onnx Whisper, punctuation-first subtitles, model management, NNAPI acceleration, and SRT/VTT/TXT export.
Open source mobile deep learning model for COVID-19 detection with POCUS
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