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You will get smart _attendance logger for student

Divya M.Status: Offline
Divya M.
Preview image

Let a pro handle the details

Buy Web Application Programming services from Divya, priced and ready to go.
Divya M.Status: Offline
Divya M.
Preview image

Let a pro handle the details

Buy Web Application Programming services from Divya, priced and ready to go.

Project details

The QR-Based Smart Attendance Logger is a Python desktop application that revolutionizes attendance tracking through QR code technology. This efficient system enables administrators to generate personalized QR codes for individuals and scan them via webcam or image upload. The application intelligently logs check-in/check-out times, automatically determining the appropriate action based on previous records while preventing duplicate entries. With its Tkinter-based GUI featuring live camera preview, the solution offers real-time scanning and immediate feedback. All attendance data is systematically stored in CSV files, with an export function for generating timestamped reports. Designed as a cost-effective alternative to biometric systems, this lightweight solution is ideal for educational institutions, training centers, and small organizations seeking to streamline their attendance management. Built with Python, OpenCV, and QRCode libraries, the system reduces manual work, minimizes errors, and provides a secure, contactless attendance tracking method.
Programming Languages
Python
Coding Expertise
Cross Browser & Device Compatibility
What's included
Service Tiers Starter
$100
Standard
$200
Advanced
$300
Delivery Time 2 days 2 days 1 day
Number of Revisions
000
Design Customization
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Content Upload
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Responsive Design
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Source Code
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Optional add-ons You can add these on the next page.
Source Code (+ 1 Day)
+$100

Frequently asked questions

Divya M.Status: Offline

About Divya

Divya M.Status: Offline
Machine Learning & Computer Vision Intern | Python Developer
Kathmandu, Nepal - 3:11 pm local time
I’m currently doing an internship in Computer Vision using Machine Learning, where I work with image processing, deep learning models, and OpenCV. I’ve also completed a HYP project, gaining hands-on experience in real-world ML problem-solving. Skilled in Python, TensorFlow, OpenCV, and data handling. I'm passionate about building smart, efficient solutions.

Steps for completing your project

After purchasing the project, send requirements so Divya can start the project.

Delivery time starts when Divya receives requirements from you.

Divya works on your project following the steps below.

Revisions may occur after the delivery date.

Client Purchase & Requirement Gathering

The client purchases the project and provides detailed requirements and specifications.

Review the work, release payment, and leave feedback to Divya.