Face Recognition platform is dedicated to Pinpoint intimate pictures of the users which have been illegally published online, without consent. The web application interacts with the Python APIs and web crawls over 2million images in the database and matches the user preference and displays images as per the request generated.
MVP launched in Disrupt Tech Crunch 2017 within 6 weeks of defined timelines.
Live in US and Romania .
Face Recognition Two-factor authentication process
Detection & Deployment of face recognition models (deep learning)
Implemented face detection using Python API
Mobile ID verification using computer vision and image processing techniques.
Two way video verification using twillio
Admin & Controller interface
Dashboard & Coupon management
WebAPI based n-tier Architecture implementation
Implemented Ninject dependency injection
UI development and SPA developed using Angular, bootstrap, JQuery, HTML
Used OOPs concept to eliminate redundancy of code, reusability of code
Created User Controls and Custom Controls for common purpose in the whole application
Parsing in templates which stores in Database for substitution
Recurring & One time payment methods implemented.
Two factor mobile authentication
Verification through video call
Involved in Unit Testing for entire application, documented the User Manual