Advanced Real-Time Eye and Facial Landmark Tracking and Logger

A Python project to detect faces and track eye movements to identify yawning and gaze detection.

GazeCraze is a modular Python application that uses computer vision and facial landmark detection to analyze user concentration in real-time. It leverages MediaPipe Face Mesh, OpenCV, and head/eye tracking techniques to infer gaze alignment and focus level from webcam video streams.

Developed a real-time exam proctoring system using OpenCV with gaze tracking and head movement analysis. Implemented advanced face detection with Haarcascades and created a dynamic Python pipeline for automated face cropping, anomaly detection, and continuous video monitoring.

RankRush is an AI-assisted online examination platform built using Python and Django for secure, scalable remote assessments with automated exam management. It integrates real-time proctoring using MediaPipe and Web Audio API for face detection, gaze tracking, and audio-based violation monitoring.

Sensory_System is a modular real time monitoring framework built in Python. It combines several sensor types: camera (object & person detection), face recognition, gaze / presence detection, and application usage tracking into a unified context. This context can then be passed to an AI system so it can understand whats happening in the environment.

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Python-Gaze-Face-Tracker is a Python-based application designed for advanced real-time eye tracking, facial landmark detection, and head tracking, utilizing OpenCV and MediaPipe technology. Specializing in uncaliberated gaze tracking, this tool is an easy to use Python eye and facial landmark tracker.

A lightweight Python library for proctoring and security applications using OpenCV. Features gaze tracking, blink detection, and face blurring with an easy-to-use API.

This project implements an integrated face detection, face recognition, attendance tracking, and gaze/eye-tracking anti-cheating system using Python. It exposes these capabilities through a Flask-based REST API to allow external systems or front-end applications to interact with them.

Python notebook for analyzing Tobii eye-tracking data and generating gaze heatmaps over visual stimuli (e.g., faces). The pipeline synchronizes gaze data with XDF/LSL experiment markers, extracts stimulus presentation windows, and visualizes fixation patterns directly on stimulus images.

An Eye Tracker is a device that identifies the focus of an individual's gaze within his/her field of vision. Used OpenCv And Python In this Module there is video which can detect the face and eyes of a person

An Eye Tracker is a device that identifies the focus of an individual's gaze within his/her field of vision. Used OpenCv And Python In this Module there is video which can detect the face and eyes of a person

👁️ A Python-based eye-controlled virtual mouse using MediaPipe, OpenCV, and PyAutoGUI. This project uses real-time face and iris tracking to control mouse movement with your eye gaze and perform clicks by blinking. Useful for accessibility applications or hands-free system control.

This repository contains a Python script for eye tracking using OpenCV and the cvzone Face Mesh Detection module. The script processes video files to detect the position of a person's left eye and tracks the iris movements to classify gaze direction as "left," "right," or "center." It also supports saving the processed video output.

This Python project performs real-time eye detection, tracking, and blink recognition using a standard webcam. Built with OpenCV, MediaPipe Face Mesh, and NumPy, it identifies facial landmarks to locate eyes and irises, then estimates gaze direction (left/right/up/down) and detects blinks based on the eye-aspect ratio (EAR).