Aegis School of Business, Data Science, Cyber Security & Telecommunication Moderate 9 milestones 100 marks

Face Recognition Attendance System for Employees

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

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Milestones

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Enrolled students

Core skills

About this project

Face Recognition Attendance System for Employees

Milestones

1. Problem Definition

10 marks 1d

2. Dataset Collection

10 marks 1d

3. Face Detection Module

10 marks 1d

4. Face Recognition Model

10 marks 1d

5. Database Integration

10 marks 1d

6. Attendance Logging

10 marks 2d

7. User Interface (Optional)

10 marks 2d

8. Testing & Optimization

10 marks 2d

9. Deployment

20 marks 4d

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Upcoming sessions

Session	Window	Enrolled
Face Recognition Attendance System for Employees	03 May 2025 to 31 May 2025	11

Skills you'll learn

Python Programming – For writing the core logic and integration. Deep Learning / Machine Learning – Understanding CNNs and face embeddings. Computer Vision – Using OpenCV for face detection and video processing. Database Management – For storing user data and attendance logs. Data Preprocessing – Image normalizationaugmentationand dataset handling. Web or GUI Development (Optional) – To create an interface using Flask or Tkinter.

Tools used

Language: Python Deep Learning Libraries: TensorFlow / Keras or PyTorch (for custom models if needed) Computer Vision: OpenCVDlibor FaceNet Database: SQLite or MySQL IDE/Editor: VS CodeJupyter Notebookor PyCharm Version Control: Git & GitHub Optional GUI/Web: Flask (Web) or Tkinter (Desktop)

Prerequisites

Basics of Python and object-oriented programming Neural networks and face recognition concepts Working with libraries like OpenCVNumPyand TensorFlow/Keras Using Git for version control Setting up and querying relational databases (e.g.SQLiteMySQL)

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You'll earn — Certificate (PDF)

AICTE-aligned Project Completion Certificate

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AICTE-aligned

Certificate of Project Completion

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Face Recognition Attendance System for Employees

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Face Recognition Attendance System fo…

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