Smart Centralized Attendance Management System
project_overview.md
> Overview
Developed an end-to-end Attendance Management System from scratch with a focus on automating attendance tasks using facial recognition, using Convolutional Neural Networks, and Machine Learning models Programmed an Android application for interacting with users to check attendance as well as the functionality to check the number of lectures attended and calculated their total attendance in percentage Utilized Python, Java, Convolutional Neural Networks, MongoDB, Google Colab, and Android Studio to achieve an accuracy of 82% in the facial recognition model