Case Study

MOBILE APPLICATION DEVELOPMENT WITH AI & FRT TO DETECT EMOTIONS

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case Study

A leading healthcare provider coordinates with hospitals to offer personal care to homebound patients. The customer provides home care personnel and personal attendants for patients with chronic ailments. They required a mechanism to understand the patient’s emotions to understand the state of their well-being.


Challenges:



  • Healthcare provider cannot manually keep track of status of each patient

  • Some geriatric patients may find it challenging to give oral feedback or understand the questions asked

  • Feedback forms can also be difficult to fill because of old age


The Zerone approach:


Zerone developed a cutting-edge mobile application for these patients, that was equipped with facial recognition and emotion recognition capabilities. The patients or caregivers can log in to the application using a face ID. Once logged in, a photo of the patient must be taken and uploaded onto the mobile app. The mobile application also included a web interface that could be used to display reports and dashboards.

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