Detectify is a gem for multi-tenant Rack apps, to help you retrieve domain and subdomain-related data from a database.

Detectify Crowdsource Challenge

😅 Detect faces in images. Without native modules. It uses tracking.js.

Find CVEs that don't have a Detectify modules.

Detectify is a deep learning system that detects AI-generated fake videos (deepfakes) using CNN and LSTM-based RNNs. Trained on datasets like Face-Forensic++, Deepfake Detection Challenge, and Celeb-DF, Detectify offers real-time video manipulation detection to combat misinformation and misuse of deepfake technology.

This app uses Clarifai API to detect faces in an image which is provided as a URL. The frontend is built using React, backend using Express, Node, PostgreSQL and the app is deployed using Heroku.

Detectify API v2 CLI using bash

a VirusTotal Desktop Application

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A Python face detector app, brought to you by TechDreams Innovations Labs!

This little application reports found issues from detectify to bugcrowd so you can mark your automatically found issues as found in bugcrowd.

Intelligent Traffic Signal and Violation Detection System

Detectify is an python application built using streamlit library. Detectify is used to detect the potential plagiarism from the input text.

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Simple module to Detect if you are running in NodeJS environment or a Browser.

Malware Detection Tool

An unofficial but powerful JAVA client for Detectify API : Go hack yourself!

Detectify plugin for Steampipe

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Detectify is a Flutter-based mobile application that leverages TensorFlow Lite (TFLite) to perform object detection on images. Users can select an image from their gallery, and the app identifies objects in the image, displaying the results with confidence levels.

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Automatically start a Detectify scan on your assets before you ship them to production.

Updated examples for the Detectify v2 API

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It will Scan object and Identify it and through voice it will tell what is the object actually.it will identify display their name in screen and also tell

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Graph-based Financial Fraud Detection System leveraging Neo4j and machine learning to uncover suspicious activities and prevent financial crime.

Group project for security

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