Download apk from Gdrive by clicking on the above link or here: APK
- Android Studio
- Firebase Storage
- Git & VCS
- Microsoft Azure
- Cross platform mobile application- Flutter
- Google Text to Speech (tts)
- TensorFlow Lite (Google Teachable Machines)
As the app uses vibreation sensors and some null parameters follwing command is needed to run it in flutter:
This can also be added in configurations as Additional Run Arguments.
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Directly download the APK file from here :
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RUN :
git clone https://github.com/yashrajmani/TriNetra-Microsoft-Engage-22.git
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Open an existing Android Studio project from this downloaded zip after extracting.
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Choose the app folder , located in this repo. Select Next for all setup instructions.
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Make sure your Flutter SDK is set and dependencies have been updated.
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Make sure your device/emulator is running from AVD Manager.
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main.dart should be chosen in the dropdown on the left of the green Play button. And then press green play button.
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Run:
cd <-THIS REPO LOCATION-> -
Make sure your device/emulator is running.
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Run:
flutter run --no-sound-null-safety
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Teachable Machines by GOOGLE : https://teachablemachine.withgoogle.com/
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AZURE FACE API : https://azure.microsoft.com/en-in/services/cognitive-services/face/
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Documentation : https://drive.google.com/file/d/1MyrPTDdv706CZURWz2GG19yNhWkBUTue/view?usp=sharing
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Video Demo : https://drive.google.com/file/d/1rUXeZA-prq127rB3wJsYeHT6Emmw5eFd/view?usp=sharing
- Allow permissions for camera and mic
- Wait for the model to analyze faces.
- For Upload/Click Image: Make sure to upload image that contains one face,it is also mentioned on the screen.
- For Realtime detection: Use sample models as Teachable Machine needs to be trained separately.
- Internet Connection in device is required
MADE WITH ❤️ BY YASH RAJ MANI