🐙 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.

🐙 Production-grade React Native facial recognition app using ArcFace ONNX for face registration, verification, and secure local storage in Expo and TypeScript.

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

Liveness-check offers a simple way to ensure your Kubernetes pods are ready before they receive traffic. Monitor your deployments with ease and keep your applications running smoothly! 🐙✨

Built a secure, transparent e-voting platform using Ethereum smart contracts, React.js, and FastAPI. Ensured real-time verification, secure vote storage, and fraud prevention through decentralization and JWT-based authentication.

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

🏋️♂️ Manage gym operations effortlessly with this full stack application, featuring a FastAPI backend and a React/TypeScript frontend for seamless customer interactions.

Gym management system with facial recognition check-in, member management, subscriptions, and analytics.

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.

应用于Linux/Windows的人脸识别项目

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.

Final year Capstone Research Project Titled: Smart Surveillance Implementation Study: Convolutional Neural Network, Facial Recognition, and Quantitative Analysis

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.

Face Recognition, face liveness detection(anti-spoofing), face matching, face compare, face comparison, facial recognition, feature extraction, face anti-spoofing and face liveness for IDV

🧬 High-performance TensorFlow Lite library for React Native with GPU acceleration

central attendance variance system This system is an automated university attendance system that uses facial recognition to track when students enter a classroom.

A facial recognition and person verification system built with Flask. This application enables real-time face detection, recognition, and registration using webcam input.