snap attend ppt to tack attandance in technical way

Python machine learning project ppt

1. SNAP ATTEND An Attendance Management System using Face Recognition System BY:- Adarsh Gupta - RA2311003030237 Manisi Nikhil - RA2311003030202 Lal Awnish Nath Sahdeo - RA2311003030198 Tushar - RA2311003030199 Gunagya Singh - RA2311003030241 Pratishtha Sharma - RA2311003030204

2. WHAT WE WILL TALK ABOUT Introduction Our Objective Problems faced Benefits : Why Snap attend Working and Output Conclusion

3. HELLO, EVERYONE! We are here to present you our project Attendance Management System using Python. It solves the problem of the traditional attendance management system.

4. OUR OBJECTIVE The objective of this project is to develop an efficient and automated Attendance Management System using facial recognition technology, implemented in Python. The system aims to simplify the process of attendance tracking in educational institutions and workplaces by eliminating the need for manual input. maintaining reliable attendance records.

5. Through facial recognition, it ensures accuracy, reduces time consumption, and enhances security by uniquely identifying individuals in real-time. The project leverages machine learning algorithms to detect and recognize faces, ensuring a seamless and user-friendly experience while

6. PROBLEMS FACED 1. Manual Data Entry and Time Consumption Attendance is usually marked manually on paper or in a register, which is time-consuming, especially for large groups. Human errors in entering data are common. 2. Human Error and Inaccuracy Errors like marking incorrect attendance, duplicate entries, or missing entries are frequent due to human oversight.

7. 3. Proxy Attendance (Buddy Punching): Proxy attendance is easy to commit in paper-based or manual systems where one person can sign in for another. 4. Difficulty in Generating Reports: Generating reports for payroll, performance evaluation, or attendance trends requires manual calculation, which is tedious and prone to errors. 5. Difficulty in Auditing : Auditing historical attendance records requires manual cross-checking, which can be cumbersome and time-consuming.

8. BENEFITS :WHY SNAP ATTEND? 1. Automation and Efficiency: Automating the attendance process eliminates the need for manual entries, saving time for both administrators and users. 2. Accuracy and Reliability: Face recognition technology provides a high level of accuracy in identifying individuals, reducing errors such as misidentification or incorrect entries. 3. Elimination of Proxy Attendance (Buddy Punching): One of the major issues in traditional attendance systems is proxy attendance, where one person marks attendance for someone else.

9. 4. Security and Data Integrity: Facial recognition adds a layer of security to the attendance system by uniquely identifying each individual based on their facial features. 5. Ease of Use and Convenience: The system is user-friendly and requires minimal input from users, who only need to have their faces scanned.

10. SOFTWARE USED : WORKING ---Code Requirements--- Python 3.6+ : The project requires Python 3.6 or higher because it supports modern libraries and features such as enhanced type hinting, asynchronous programming, and better package management. 2 Opencv(pip install opencv-python) :OpenCV is primarily used for image and video processing. In your attendance management system, OpenCV handles tasks such as: Capturing images or video from a webcam.

11. 3. Tkinter (Python's Standard GUI Library): Tkinter is used to create a Graphical User Interface (GUI) for the application. It allows you to create buttons, forms, and other interactive elements 4. Pillow (Python Imaging Library - PIL) : Pillow is used for image processing tasks, such as: Opening, resizing, and converting images into a format that can be processed by the system.

12. 5. PANDAS (DATA MANIPULATION AND ANALYSIS LIBRARY) : PANDAS IS USED TO HANDLE ATTENDANCE DATA IN THE FORM OF TABLES OR DATA FRAMES. IT HELPS WITH: STORING AND MANAGING ATTENDANCE RECORDS IN CSV OR EXCEL FORMAT. 6. NUMPY (NUMERICAL COMPUTING LIBRARY) : NUMPY PROVIDES SUPPORT FOR NUMERICAL AND MATRIX OPERATIONS THAT ARE CRUCIAL FOR IMAGE PROCESSING.

13. OUTPUT :

14. OUTPUT

15. The Attendance Management System using Face Recognition project demonstrates how modern technology can streamline and enhance traditional processes such as attendance tracking. By leveraging Python libraries like OpenCV, Tkinter, Pillow, Pandas, and NumPy, the system automates attendance marking, making it more efficient, accurate, and secure. The use of facial recognition eliminates issues like proxy attendance and human error, providing a reliable, contactless solution suitable for workplaces, educational institutions, and events. CONCLUSION

16. THANK YOU FOR LISTENING! If you have any questions, feel free to ask.