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Face Recognition
Platform

Web Based Face Recognition Platform

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.

USP/Features

  • 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
  • Feedback management
  • Invoice management
  • Ticket management
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TECHNICAL IMPLEMENTATIONS

  • 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
  • Timezone management
  • Involved in Unit Testing for entire application, documented the User Manual

Project Screenshots

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