AttendNow

Our web-based attendance system utilizes facial recognition technology to automate attendance-taking and ensure accurate records.

Details about the Project

In our backend system, we utilize the face_recognition library to identify the images of students, enabling attendance to be taken by uploading a group photo. The library recognizes the faces in the photo, retrieves their respective details, and presents them on the website. Additionally, the system records this information in the specific classroom's database, providing an accurate and efficient means of tracking attendance.

Features

This application provides users with the following features:

• A secure login system that utilizes JWT tokens for maximum protection.
• The ability to reset passwords, ensuring that users can easily recover access to their accounts.
• A user-friendly platform that allows for the creation of classrooms and efficient attendance-taking.
• A hassle-free attendance process that permits users to upload group photos and retrieve student data with ease, which can then be displayed on the website.
• A comprehensive list of all currently enrolled students within the college, facilitating streamlined record-keeping and administration.

Tech Stack Used

• React
• Tailwind CSS
• MongoDb
• Express
• Node.js
• Flask
• Python