Automated Facial Recognition System for Tracking Student Participation in Events 📸🎓

by Team Adwaith PJ and Aditya Choudhury

Problem Statement 🎉

Our project aims to revolutionize student event participation tracking at universities by introducing an automated facial recognition system. This system enables students to conveniently mark their presence by showing their faces, streamlining attendance management and boosting overall event participation.

Accessing The Deployed Project

You can access the deployed Frontend at :- f.adityachoudhury.com
You can access the deployed Backend at :- fuzzy-spork.unknownclub.me

Key Features 🚀

Automated facial recognition for event attendance
Registration of students from specific branches
Capturing, processing, and storing facial data
Attendance records stored in MongoDB database
Email notifications for absent students
Two-step OTP-based verification for authentication

Tech Stacks Used 💻

ReactJs for front-end development
ExpressJs/NodeJs for back-end development
MongoDB for efficient data storage
Python for Facial Recognition Model
SMTP for sending email notifications
HTML/CSS for user interface design
Figma for UI/UX design and prototyping

Getting Started 🛠️

To run this project locally, follow these steps:

Clone this repository: git clone [repository_url]
Install dependencies for front-end and back-end: npm install
Set up MongoDB and configure database connection
Run the back-end server: npm run dev
Run the front-end: npm run dev
Access the application in your web browser

Contributors 👥

Adwaith PJ - UI/UX and Facial Recognition Model
Aditya Choudhury - Back-end development and Front-end development

License 📜

This project is licensed under the MIT License - see the MIT License (LICENSE) file for details.

For any inquiries, please contact us at: [adwaithleans616@gmail.com][adityasubham03@gmail.com]

adwaithpj/fuzzy-spork