Steps towards physical adversarial attacks on facial recognition

使用MTCNN进行人脸识别，FaceNet进行特征提取的人脸识别系统

eKYC (Electronic Know Your Customer) is a project designed to electronically verify the identity of customers

Real time face recognition Using Facenet , pytorch, Tensorflow

facenet-pytorch + DeepSORT

Train FaceNet model with face masked augmentation on Pytorch.

A FaceRecognition module wrote with facenet_pytorch and Django as web framework

Cancelable Biometric Template Protection for Face Recognition - Research prototype demonstrating Ortho+Sign and Perm+LUT transforms with local KMS

Final Year Project

Docker and Flask based API layer + data ingestion pipeline for the Facenet-PyTorch facial recognition library. I.e. simple ML deployment for matching pairs of photos

Face Recognition Attendance System — A Python-based system that automatically marks student attendance using real-time facial recognition. It leverages MTCNN for detection and FaceNet for recognition, stores records in CSV, and supports both CPU and GPU processing.

Real-time detects objects and recognizes faces using deep learning

Detect The Face from the Input image and Recognize the person in Image from very few past examples.

university coursework - app for person identification

Analyzes of the Face Detection models

university coursework - app for person identification

Face recognition and identity verification using deep learning

Python-based face recognition login system with anti-spoofing checks (blink, head, smile)

A production-ready ML-driven facial authentication system with multi-layer security, adaptive learning, and advanced anti-spoofing capabilities.

Architected a live-streaming AI companion integrating speech, vision, LangChain memory, and vector DB, delivering personalized interactions with ~85% emotion recognition and <3s latency and 50+ managed events.