🐙 Docker containers for AI and data science developers. Dockerize your Streamlit app with a beginner-friendly guide to reproducible environments, easy deployment, and scalable MLOps.

Implement a dual-mode attendance system using face recognition and card-based methods with a modern Gradio interface. 📅👩💻 Explore the project on GitHub!

Most effective and easiest to install python library for recognising faces in images or videos

Most effective and easiest to install python library for recognising faces in images or videos

First open-source emotion detection for Hailo-8 AI accelerator. Real-time 7-class classification (61.7% FER2013) at 30-40 FPS on Raspberry Pi 5.

Computer vision application to type based on detection of eyes blinking morse code.

This project uses the YOLOv8 model for real-time object detection and face recognition through a webcam. It captures video frames, performs detection using the YOLOv8 neural network, and displays the results with bounding boxes and labels directly on the screen.

A lightweight Python-based Face Recognition Authentication System that verifies users by comparing their faces against a list of trusted individuals. Built using the face_recognition library, this project demonstrates how AI-powered facial verification can be implemented in just a few lines of code.

An application that will detect object, faces and recognition of people within images and videos

Advanced Detection Surveillance System that uses A.I. and ML to utilize facial recognition, customizable to also preform automated response / actions based off of human behaviors. Both Threat detection, as well as loss prevention.

The Dual Biometric Recognition System is a cutting-edge security solution that combines the power of facial recognition and fingerprint analysis to provide robust, multi-modal biometric authentication.

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

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 Photo Organizer is a desktop application for Windows that automatically finds and groups all photos of the same person across your entire photo library, the app uses artificial intelligence to recognize faces and organize them for you.

🎭 Real-time multi-face emotion detection using computer vision and deep learning. Supports 7 universal emotions with 85-92% accuracy at 25-35 FPS. Built with OpenCV, DeepFace, and TensorFlow.

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.

Real-time face recognition (DeepFace, OpenCV)

Locate and label faces in photos. Top-100 GitHub Facial Recognition Algorithms by MetaGuide (2022).

A computer vision project for marking attendance using facial recognition. Tech stack includes Python, OpenCV, Dlib, Flask, and Tkinter.

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