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Runner's Up submission under The Marconi Society's Celestini Prize India. This repository entails my contributions to our project VisionAir : A privacy-preserving smartphone application that can be used to estimate the Air Quality Index from an image that the user takes. The application uses On-Device training to ensure complete isolation of the user's private data and also uses federated learning to diversify the response of the global deep learning model iteratively

Home Page: https://vision-air.github.io/

Python 0.04% Jupyter Notebook 99.96%
computer-vision federated-learning

visionair's Introduction

Well Hello 👋

My Github-self is happy to e-meet you,

I'm passionate about developing data-quality estimation methods. Previously, I have worked on building neural machine translation systems for data-sparse systems and federated learning systems. 
Most of the work I have contributed to can be found here. I’m currently a PhD student at CMU (LTI). Prior to this, I was a SCAI Center Fellow at Microsoft Research India. 
If you find any critical inaqequacies in the work on this profile (I am quite sure, there are many 🤔) or have any questions about the work staged on this repository, you can reach out to me via my website.

Thanks!

visionair's People

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shivam-grover divyanshusharma1709

visionair's Issues

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