WWDC

SilentPhish Swift Student Challenge Submission | WWDC 2022 Introduction My Swift Playground App aims to demonstrate the detection of Phishing websites using Machine Learning to analyze the threat in an offline sandbox. Introducing SilentPhish!!! SilentPhish is an offline sandbox where a link can be analyzed based on various URL features using Machine Learning to detect whether the link is legitimate or phishing. Let’s get started! Feature Extraction: A URL is composed of different parts, some mandatory & others optional....

CryptoCam Swift Student Challenge Submission | WWDC 2021 Introduction My Swift Playground aims to introduce & demonstrate a new concept of how Machine Learning can be used with Cryptography to innovate the future of Data Security, Data Confidentiality & Data Integrity. Introducing CryptoCam! CryptoCam is a cam to encrypt & decrypt your data inside a physical object using Machine Learning. Methodology Let’s get started! CryptoCam uses VisionKit with MobileNetV2 Machine Learning Model to analyze & classify images....