🔮 Obtain the power of touchless interaction with display screens
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Updated
Oct 1, 2024 - Kotlin
🔮 Obtain the power of touchless interaction with display screens
Implementing various ML usecases in Jetpack Compose
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On-device customizable face recognition in Android with FaceNet and an embedded vector database
RepDetect is an android mobile application for workout enthusiast which uses Google MediaPipe Pose landmark detection using MLKit to create a basic fitness application.
An Android App recreating the Simon Says game. Uses MediaPipe to run an LLM on device
Action count detection system which has web and android side
AI Android application crafted with Kotlin that harnesses the power of MediaPipe Pose Landmark Detection to deliver real-time feedback on exercise form while accurately counting repetitions
RepDetect is an android mobile application for workout enthusiast which uses Google MediaPipe Pose landmark detection using MLKit to create a basic fitness application.
Jetpack Compose implementations for MediaPipe Solutions based in View-based implementations
Physiotherapy Assistant based on Google's MediaPipe Library
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