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WCS camera trap data from Latin America and detection - occupancy analysis

Αυτό το project αναπτύχθηκε για να παρέχει δεδομένα αισθητήρων σε πραγματικό χρόνο από ένα Arduino και να τα παρουσιάζει σε διάφορες μορφές HTML rendering.

A lightweight segmentation tool used to detect clumps and substructures in the residuals of high-resolution images of galaxies.

Online resources related to Detection Engineering. Detection rules, detection logic, attack samples, detection tests and emulation tools, logging configuration and best practices, event log references, resources, labs, data manipulation online tools, blogs, newsletters, good reads, books, trainings, podcasts, videos and twitter/x accounts.

Flask-based credential harvesting demo for cybersecurity education and phishing detection training.

log4j wordlist

🍕 Enterprise AI-powered Pizza Store Hygiene Monitoring System with Real-time Violation Detection using YOLO, FastAPI, and Microservices Architecture

AI BASED POSTURE CORRECTION SYSTEM FOR REMOTE WORKERS AND DEVS

A Website where anyone can check if any content (Text, Image or Video) are AI generated.

This is a web based QR scanner that shows any security threats that a QR code may have.

Military-grade Drone Detection software using javascript/tensorflow to detect various types of drones used by civilians and military. This app can be tested at the following url:

Drone Detection software using javascript/tensorflow to detect various types of drones used by civilians and military. This app can be tested at the following url

A machine learning project to detect fake Aadhar cards using TensorFlow. Trained a model to distinguish between real and fake Aadhar card images using computer vision techniques and deep learning

This project is a comprehensive Flask-based application designed to help farmers and agricultural enthusiasts identify crop diseases and enhance productivity. It includes an intelligent chatbot, crop disease detection using machine learning models, and an admin portal for adding new models.

Detecting contamination in NGS data and multi-species analysis

Aerobics with your camera. Easy, fast and free.

Welcome to the Fruit Ripeness and Disease Detection System! This application utilizes advanced YOLOV8 models to detect various fruits and diagnose diseases in bananas, mangoes, and pomegranates. Built with Flask, the web application allows users to either upload images for analysis or use a live video feed for real-time detection.

FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS

This web app uses TensorFlow.js and the MobileNet model to classify clothing items in uploaded images. Built with HTML, CSS, and JavaScript, it allows users to upload and preview images, displaying real-time predictions of clothing items and their probabilities.