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

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

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.

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

Real-time detects objects and recognizes faces using deep learning

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.

university coursework - app for person identification

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

Face recognition and identity verification using deep learning

Steps towards physical adversarial attacks on facial recognition

facenet-pytorch + DeepSORT

Service for identifying, determining the activity and involvement of the user in the process of distance learning

university coursework - app for person identification

使用MTCNN进行人脸识别，FaceNet进行特征提取的人脸识别系统

A FaceRecognition module wrote with facenet_pytorch and Django as web framework

Final Year Project

Real time face recognition Using Facenet , pytorch, Tensorflow

Train FaceNet model with face masked augmentation on Pytorch.

Analyzes of the Face Detection models

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