Face Attendance App

The project was build for Microsoft Engage Program 2022. This is a Face Attendance App that uses face recognition for marking students' attendance.

Features :-

There are two types of users i.e. Teachers and Students.
Students have to submit the picture of thir face during signup.
The information of the face corresponding to a student is stored in the form of face encodings.
To mark the attendance, the student has to scan his face using a teacher's device.
The face encoding from the scanned face and stored encoding are then compared.
On successful matching, the student's attendance is marked for the day.
The teacher can view the attendance of all the students.
The students can view their attendance.

Addition Information
The API for comparing faces is build using face_recognition python library.

Getting Started

Clone the repository

git clone https://github.com/VishalZ123/Face-Attendance.git

Navigate to the frontend directory
```
cd frontend/face_attendance
```
Install the dependencies
```
flutter pub get
```
After your Backend is running, paste localhost:port or your IP Address (if USB Debugging) in the constants.dart file.
```
const String BASE_URL = 'localhost:8000';
```

Navigate to the backend directory
```
cd backend
```
Create and activate a virtual environment (recommended)
```
python -m venv venv
source venv/bin/activate
```
Install the dependencies
```
pip install -r requirements.txt
```
Run the migrations
```
python manage.py makemigrations
```
Run the migrations
```
python manage.py migrate
```
Create a superuser
```
python manage.py createsuperuser
```
Copy .env.example to .env
```
copy .env.example .env
```
Edit the .env file and add the required values (SECRET_KEY & DEBUG)manage.py runserver

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.