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Full-service technology company
<p>We are an IT Consulting and Digital Agency. Located in the New York Greater Area, we work with clients from around the globe, developing for web and mobile devices – creating apps and services for our clients that help maximize their business efficiency. We provide our clients with a full scope of professional email marketing services – we design, implement and launch powerful marketing campaigns with focus on customer acquisition, expansion of existing brand awareness, and automation. Our team has deep understanding of business and technology. This allows us to deliver the perfect blend of skills, domain knowledge, hands-on experience, effective methodology and passion for IT.</p>
$50 - $99/hr
10 - 49
United States
We are an IT Consulting and Digital Agency. Located in the New York Greater Area, we work with clients from around the globe, developing for web and mobile devices – creating apps and services for our clients that help maximize their business efficiency. We provide our clients with a full scope of professional email marketing services – we design, implement and launch powerful marketing campaigns with focus on customer acquisition, expansion of existing brand awareness, and automation. Our team has deep understanding of business and technology. This allows us to deliver the perfect blend of skills, domain knowledge, hands-on experience, effective methodology and passion for IT.
142 W 57th street NYC New York United States NY 10019
856 521-3373
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The task was to build a virtual fitting room for eyelashes that could scale to a large number of clients. This had to be a responsive web app, integrated into a WooCommerce store as a plug-in. The main challenges were scaling analysis, photo manipulation (Exif data, rotation, scaling, plotting) face recognition, eye detection, lash positioning and scaling, drag-n-drop implementation. The knowhow of the solution was to develop the entire application in javascript (including the face recognition logic). With all the computations being handled on the client’s side the app could easily scale with no additional resources – a huge cost saver. We decided to use Tensorflow.js to detect facial features and a set of specifically trained models that showed the best results. A lot of work had to be done to scale and rotate the photos appropriately, as well as apply eyelash transformations and a drag-n-drop functionality. A custom carousel was added to pull products from WooCommerce using the API. In order to showcase the project to the client, a full-fledged WooCommerce staging environment had to set up and configured inside a docker container.
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