👤 Recognize faces in images instantly with this Flask app leveraging deep learning for real-time face detection and recognition.

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

Celebrity face recognition using MTCNN and Inception-ResNet, deployed as a Flask web app.

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

This AI-powered app can automatically detect, recognize, and cluster faces from multiple images

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.

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).

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).

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

age estimation

Face recognition and identity verification using deep learning

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

Face Recognition System developed using PyTorch Face-Net and MTCNN modules. Detects and verifies user-selected faces.

Steps towards physical adversarial attacks on facial recognition

facenet-pytorch + DeepSORT