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Developed during Technica - Hackathon in University Of MaryLand - College Park - MLH Season 2018

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Emotion-Recognition-for-Distress

Developed during Technica - Hackathon in University Of MaryLand - College Park - MLH Season 2018

A web app to identify emotions of sadness and fear in individuals using Microsoft Azure - Emotion API. The user can upload an image of himself/herself using this app. The app identifies whether the individual is in depression or in distress through the image uploaded by comparing the score of the parameters of emotions - sadness and fear with threshold their values. Once distress is identified, an automatic message for help is passed. This app is developed using HTML,CSS,JavaScript,JQuery. The Microsoft's Emotion API is used for detecting emotions and giving output as JSON object.

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Developed during Technica - Hackathon in University Of MaryLand - College Park - MLH Season 2018

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