Dish Live

Video streaming WebApp which can curate content on basis of real time face recognition and filtering of adult content

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Inspiration

To build a viable product which can curate the content by analyzing the user's features in real time

What it does

The web application is intended to be used for moderating the curated content (exclusive to particular client such as Dish TV). Using Facial Recognition the end-users are allowed to watch the published based on the returned JSON-response factored into Gender and Age.Also the uploaded videos are analysed for checking and filtering of adult and obscene content.

How we built it

MEAN Stack Tensor flow.js Cloud Vision API Open Source JS Libraries API integration

Challenges we ran into

It was really difficult to implement an algorithm which can identify obscene content in a video. Many API's were to be used for image analysis. So we try to used a library and dissected video in frames to analyse for such content during uploading.

Accomplishments that we're proud of

We were able to integrate facial recognition for real time age, gender and sentiment analysis and were able to return a JSON-response

What we learned

What's next for Dish Live

WE will try to implement PWA for this web app so that users can access our product offline

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