Our Exploratory Project - On Person Identification

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.

Train FaceNet model with face masked augmentation on Pytorch.

university coursework - app for person identification

Real-time detects objects and recognizes faces using deep learning

Final Year Project

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

Reconocimiento facial con deep learning y python.

Face recognition and identity verification using deep learning

Live detection of person not wearing a mask

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

university coursework - app for person identification

Analyzes of the Face Detection models

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).

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.

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

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.

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

Neural Networks, Dimensionality Reduction and Clustering