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Ms-engage-2022-face-recognition-

Preview of the Desktop Application

  1. Login
  2. Register
  3. Main page
  4. Student details(add photo)
  5. Train data
  6. Student detector(face recognize)
  7. Attendance
  8. Chatbot

About The Project:

Attendance management system using face Recognition project built during Microsoft Engage 2022 program.

Language used:

Front end and backend are developed using python .

Database used:

MySQL is being used for storing data

IDE:

Microsoft VS Code

Python Libraries:

Numpy ,open-cv , Pillow, Tkinter etc...

Algorithm used:

I have used Har cascade algorithm and LBPH algorithm for face detection and face recognition.

Prerequisites

Make sure to install the required dependencies :

Install Python from python.org

Install visual studio Code.

Download all the latest libraries mention in requirements.txt file

To run the software on your local host, perform the following steps:

Clone the GitHub Repo in vs code

Run the login page

Make sure to setup the database on localhost:

User = “root”

Password = “Afrin@123”

Database= “face recognizer”

Login Page:

Screenshot (26)

Registeration page:

Screenshot (27)

Forgot password:

Screenshot (28)

Main Page:

Screenshot (30)

Student Details:

Screenshot (22)

Train data:

Screenshot (21)

detect student and mark attendance:

Screenshot (31)

Attendance list:

Screenshot (23)

Chat Bot:

Screenshot (24)

Help Desk: Screenshot (25)

video demo link: https://youtu.be/wyzQgBlrOGo

presentation link: https://www.canva.com/design/DAFB_ZHBeJU/zs5HyYhuzq1mFykRQMcxVw/edit?utm_content=DAFB_ZHBeJU&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton

Requirements file: requirement.txt

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