This repository contains the code for Face Attenance Android app.
Group 3
Hriday Grover - LIT2019042
Mohsin Ahmed - LIT2019066
Mark Andrew - LIT201940
Bhanu Prakash Singh - LIT201943
Rajat Napalchyal - LIT2019076
Our project aims to automate the conventional attendance management system for both ends (students and teachers) by using machine learning model of face recognition and a mobile application.
Additionally, the android application counterpart for students and teachers allows for teachers to access Realtime updating of classes and schedules. And using this database and the CNN algorithms done on the live surveillance updating the database, the students can retrieve information about their latest attendance percentage, records for each class they're enrolled in.
Home Screen, Sign up/ Login menu for students and teachers
Sign up menu for Students for adding their details and a clear image for the machine learning encodings to process for face recognition.
Registrations inside Teacher's Menu for adding a class dynamically
Student Login and Dashboard Portal for accessing their attendance and subjects dynamically
Detection and working of backend machine learning encodings
Clone this repository
git clone https://github.com/Grovercode/Face-Recognition-Attendance-Android-App.git
Open the project in Android Studio and Run.