One of India’s leading job portal, Shine.com introduced face recognition and touch ID capabilities in its mobile application to improve the user experience significantly. Close on the heels of expanding its technology team, the company has doubled down on machine learning to reimagine the user experience of the app. In a first-of-its-kind, the mobile app received an upgrade around its hardware-based tech with the portal streamlining the user’s login process with Face/Touch ID, thereby allowing users to validate their identity without the need for passwords.
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According to Shine.com CTO, Amardeep Vishwakarma, “The job portal has been an industry frontrunner for the past several years, with an unwavering focus on user-centricity when it comes to its offerings. We were amongst the first online jobs portals in India to have launched their own mobile app. The launch of this first-of-its-kind face and touch-based login features on our mobile app, well before any other player in the domain, further reinforces our commitment to simplifying and adding value to our users’ interactions with our online platform.”

Users can now log into the app and receive notifications by using Face/Touch ID, without having to enter a password or going through other means of authentication. The new features also draw on the in-built security mechanism of the OS platform that the mobile app operates on, to safeguard the user’s information.
The move underlines the company’s focus on leveraging AI and ML as a key differentiator India’s. Vishwakarma further added how most apps mostly focus on improving the software side of tech, Shine.com mobile app has made advanced upgrades around the hardware side to enable better user experience and is now geared for the latest smartphones in the market, for example iPhone XS and the iPhone XR.
The job portal has enabled touch ID-based login on both Android and iOS applications, while the face recognition-based login is available on the Shine.com iOS app on iPhone XS and iPhone XR. The platform plans to soon make the face ID feature available on its Android app as well.