yashrajmani/TriNetra

TriNetra : An eye for the needy

TriNetra : An eye for the needy! 👁

Submission for Microsoft Engage 2022

Download apk from Gdrive by clicking on the above link or here: APK

Features and Interfaces:

Tech stack:

• Android Studio
• Firebase Storage
• Git & VCS
• Microsoft Azure
• Cross platform mobile application- Flutter
• Google Text to Speech (tts)
• TensorFlow Lite (Google Teachable Machines)

Tools and Languages:

Features:

Installation:

As the app uses vibreation sensors and some null parameters follwing command is needed to run it in flutter:

flutter run --no-sound-null-safety

This can also be added in configurations as Additional Run Arguments.

• Directly download the APK file from here :

• RUN : git clone https://github.com/yashrajmani/TriNetra-Microsoft-Engage-22.git

Android Studio/IntelliJ/VSCODE:

• Open an existing Android Studio project from this downloaded zip after extracting.

• Choose the app folder , located in this repo. Select Next for all setup instructions.

• Make sure your Flutter SDK is set and dependencies have been updated.

• Make sure your device/emulator is running from AVD Manager.

• main.dart should be chosen in the dropdown on the left of the green Play button. And then press green play button.

Command Line:

• Run: cd <-THIS REPO LOCATION->

• Make sure your device/emulator is running.

• Run: flutter run --no-sound-null-safety

Useful Links:

• Teachable Machines by GOOGLE : https://teachablemachine.withgoogle.com/

• AZURE FACE API : https://azure.microsoft.com/en-in/services/cognitive-services/face/

• Documentation : https://drive.google.com/file/d/1MyrPTDdv706CZURWz2GG19yNhWkBUTue/view?usp=sharing

• Video Demo : https://drive.google.com/file/d/1rUXeZA-prq127rB3wJsYeHT6Emmw5eFd/view?usp=sharing

Points to remember while testing the app

1. Allow permissions for camera and mic
2. Wait for the model to analyze faces.
3. For Upload/Click Image: Make sure to upload image that contains one face,it is also mentioned on the screen.
4. For Realtime detection: Use sample models as Teachable Machine needs to be trained separately.
5. Internet Connection in device is required

REACH ME:

Microsoft Engage PROJECT - FACE RECOGNITION

This repository contains files for my project submission as a mentee in microsoft engage 2022

MADE WITH ❤️  BY YASH RAJ MANI