This library is built to ease the process of decoding aadhaar QR codes and XML. It supprts old aadhaar QR codes , newly released Secure aadhaar QR codes and also Offline e-KYC XML. This library also can decode QR codes with Opencv. This library bundled with all the features to verify user\'s Email Id and Mobile Number & also to extract the photo…
📱 ⭐ Publish this Android library as a open source to easily implement Offline KYC using Aadhaar Secure QR Code in Android app without any external SDK and API.
Android helper library to easily integrate fingerprint scanner support for UIDAI Aadhaar based secure authentication in India
Veritas Ex Oculi a machine learning program written in python, capable of generating a model that can distinguish AI generated images of human faces from real ones with an excellent accuracy of 96%
Kavach, the next-generation Know Your Customer (KYC) application designed to provide a seamless and efficient identity verification process. Kavach leverages advanced AI technologies to streamline the traditionally cumbersome KYC process, enhancing user experience.
Add a description, image, and links to the e-kyc topic page so that developers can more easily learn about it.
To associate your repository with the e-kyc topic, visit your repo's landing page and select "manage topics."