AI & ML

Face Recognition

Enrollment, match, and metrics you can defend.

Structured for ML vivas: dataset notes, train/val split, metrics, and failure cases. Emphasizes responsible use and consent language for academic settings.

Highlights

  • Enrollment gallery workflow
  • Threshold tuning narrative
  • Live webcam demo script

Suggested stack

  • Python
  • OpenCV / face_recognition / ONNX
  • NumPy
  • Optional Flask UI

Deliverables

  • Synopsis
  • Training & inference scripts
  • Labeled dataset guidance
  • Results tables & plots
  • Conclusion + limitation paragraph set