mUni Campuss Moderate 4 milestones 70 marks

Face Recognition Attendance System for Employees

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

4
Milestones
0
Available mentors
3
Enrolled students
1
Core skills
About this project

Face Recognition Attendance System for Employees

Milestones
1. Data collection (employee faces)Data collection (employee faces)
10 marks 3d
2. Face detection and matching
10 marks 2d
3. Attendance logging
15 marks 2d
4. GUI development
35 marks 2d
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Upcoming sessions
SessionWindowEnrolled
Project Test-29th april 2025 29 Apr 2025 to 09 May 2025 3
Skills you'll learn
OpenCV Face recognition libraries Real-time image processing
Tools used
Python OpenCV face_recognition
Prerequisites
Python basics Image handling
Available mentors

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You'll earn — Certificate (PDF)

AICTE-aligned Project Completion Certificate

A formal, audit-ready PDF certificate issued by Assessfy + your institute on successful completion. Includes AICTE credit hours, your evaluator's signature, and a QR code for third-party verification.

Certificate of Project Completion

This is to certify that

has successfully completed the project

Face Recognition Attendance System for Employees

Auto-issued on completion QR-verifiable
You'll earn — Digital Badge

Shareable LinkedIn / Resume Skill Badge

A compact, verifiable Open-Badges-2.0-compliant digital credential. Add to your LinkedIn profile, GitHub README, or resume in one click. Recruiters can validate authenticity via a unique URL.

Moderate
Face Recognition Attendance System fo…
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Auto-issued on completion One-click LinkedIn add

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