Smart NEDIANS

FACE DETECTION BASED ATTENDANCE MANAGEMENT SYSTEM

Full Stack Web DevelopmentJupyter NotebookMIT

Abstract

Smart NEDIANS is an open-source Full Stack Web Development project. FACE DETECTION BASED ATTENDANCE MANAGEMENT SYSTEM. It is a university project, we have made a smart attendance system using tkinter for frontend interfacing and open-cv for face recognition. It is built using Jupyter Notebook. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Full Stack Web Development mini project or final-year project.

1. Introduction

It is a university project, we have made a smart attendance system using tkinter for frontend interfacing and open-cv for face recognition.

From this login form, admin and teacher can login. _

2. Objective

FACE DETECTION BASED ATTENDANCE MANAGEMENT SYSTEM

This project demonstrates how Jupyter Notebook can be applied to a real-world Full Stack Web Development problem.

4. Technology Stack

Jupyter Notebook
  • Web Camera streams image or video
  • Printer used to give hardcopy of the attendance sheet
  • Jupyter Notebook

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • Python 3.8 or later with Jupyter Notebook / JupyterLab (or Google Colab)
  • pip for dependencies
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/MidhaTahir/Smart_NEDIANS.git
cd Smart_NEDIANS

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Add role-based access control
  • Deploy on a VPS or cPanel hosting with a custom domain
  • Add automated tests and a CI pipeline

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. Explain the frontend, backend and database layers of this application.
  2. How is user authentication and authorisation implemented?
  3. Describe the main database tables / collections and their relationships.
  4. Which REST APIs or routes are exposed and what do they return?
  5. How would you deploy this application to production?

9. Source Code & License

This project is developed by MidhaTahir and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.

View Source on GitHubDownload ZIP

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