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

Steps towards physical adversarial attacks on facial recognition

Real time face recognition Using Facenet , pytorch, Tensorflow

age estimation

facenet-pytorch + DeepSORT

使用MTCNN进行人脸识别，FaceNet进行特征提取的人脸识别系统

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

This project, developed with VS Code, Jupyter Notebook and Google Colab, uses Python (Flask, Pytorch, face_recognition, and more) and Postman (for API Testing) to develop two implementations of recognizing human faces, particularly those present in the LFW dataset and Indian Actors Dataset (both available on Kaggle).

A robust pipeline for detecting and recognizing faces in video footage using YOLOv8 for detection and FaceNet-PyTorch for recognition, supporting real-time processing. Ideal for video surveillance and identity management.

A FaceRecognition module wrote with facenet_pytorch and Django as web framework

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

Zillion Utility purpose Neural authentication Interface: ZUNI

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.

CZ4041 Machine Learning Project: Predicting probabilities of two images being kin

Train FaceNet model with face masked augmentation on Pytorch.

Final Year Project

Real-time detects objects and recognizes faces using deep learning

Our Exploratory Project - On Person Identification

university coursework - app for person identification

Live detection of person not wearing a mask