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AI-driven interview monitoring platform that leverages computer vision, gaze and face analysis, audio monitoring, and intelligent risk scoring to deliver real-time behavioral insights and post-session analytics.
This repository contains the web interface developed in React to test a multilayer perceptron (MLP) artificial neural network (ANN) designed to recognize Greek letters drawn by users.
A premium, gesture-powered HTML5 drawing canvas powered by MediaPipe AI. Ditch the mouse. Drop the stylus. Draw in thin air with real-time hand tracking right in your browser.
An AI-powered tool for teachers that extracts questions from exam papers, matches them against handwritten student answers, and produces a structured mapping with bounding-box highlights.
A high-performance attendance system using Next.js with and ML-server using Flask, RetinaFace for face detection and ArcFace for recognition, achieving 95%+ accuracy. Deployed on Azure with Prometheus and Grafana for monitoring.
AI-powered wildlife ReID system for detecting and identifying tigers and deer using YOLOv11, MegaDetector v5a, deep features, and FAISS similarity search. Supports incremental learning and delivers fast, accurate top-1 identity matches.
This Facial Recognition App is a cutting-edge solution, combining the power of Python's OpenCV and face_recognition libraries with the versatility of Flask and React JS
IBM-Intern-Secure-Data-Hiding-in-Image is a cutting-edge web application designed to protect your confidential information by securely encrypting and decrypting messages hidden within images. Leveraging advanced technologies such as HTML, CSS (Tailwind CSS), TypeScript, React, Vite, Python (Flask), Pillow and steganography.
A web app for identifying vehicles, reading their number plate and keeping count of them; all live as the vehicles appear in a video via traffic cam. This is an ongoing project.