andreped/DSS
:vibration_mode: From training of transformers to real-time development in cross-platform mobile apps!
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.
Stars
8
Forks
4
Language
Dart
License
MIT
Category
Last pushed
Jul 05, 2024
Commits (30d)
0
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