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https://issues.apache.org/jira/browse/SINGA-147?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15189754#comment-15189754
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Santosh Kumar commented on SINGA-147:
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project name was "CryptoMsg"
As part of B.Tech. Summer Project (4th Semester), I applied Techniques of
Encoding and Decoding Base64,utf8,utf16 to encrypt and decrypt text and
images. This application can be used for sending secret Massages and Images
through whatsapp,gmail or any messenger.
idea was that in digital world nothing is 100% secure. we just increase the
levels of security So, many applocker apps available in market which can be
used to lock your messengers apps but my idea was why should i show that i want
to hide my chat images,texts. instead of this i send texts and images in a form
which can't be understand by anyone easily.only those person can understand who
know decryption of that messages.
it was my first project.but now i want to explore my knowledge in field of
natural language processing. like your SINGA application will help me.
> Run SINGA applications on mobile devices
> ----------------------------------------
>
> Key: SINGA-147
> URL: https://issues.apache.org/jira/browse/SINGA-147
> Project: Singa
> Issue Type: New Feature
> Reporter: wangwei
> Labels: gsoc, gsoc2016, mentor
>
> Mobile devices (e.g., mobile phones) are good platforms for running deep
> learning applications, e.g., object or speech recognition, since they can
> record video and audio, and take pictures.
> A simple implementation for such applications would send the content (e.g.,
> video or images) back to central servers, which requires internet connection
> and consumes mobile data. Considering that the recognition task is cheap
> (cheaper than training tasks), we can implement mobile apps to do the
> recognition tasks on the mobile devices. In this way, we can run the
> applications off-line, which is very convenient for users.
> This JIRA issue is going to re-implement some SINGA functions on mobile app
> development platforms to create a mobile app (android/ios) for object/speech
> recognition.
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