andreped/DSS

:vibration_mode: From training of transformers to real-time development in cross-platform mobile apps!

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Emerging

This project helps medical researchers and developers integrate AI models into real-time sensor systems, particularly for mobile applications. It takes raw sensor data (like accelerometer readings) and uses a trained AI to classify real-time events, outputting predictions on a cross-platform mobile app. It's designed for those who want to deploy deep learning models directly onto mobile devices for immediate use.

No commits in the last 6 months.

Use this if you need a demonstration and guidance on how to train an AI model using sensor data and then deploy that model for real-time inference on a mobile application.

Not ideal if you are looking for a generic, plug-and-play framework for any AI deployment or if your primary goal is not mobile-based sensor integration.

mobile-health real-time-sensing medical-device-prototyping gesture-recognition applied-ai
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

8

Forks

4

Language

Dart

License

MIT

Last pushed

Jul 05, 2024

Commits (30d)

0

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