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https://issues.apache.org/jira/browse/SINGA-147?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15187263#comment-15187263
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Santosh Kumar commented on SINGA-147:
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Hello sir,
i am pre-final year student of CSE from delhi. how i can join this project?
i am aware about the android platform and i have made a android app through
which we can send secret messages and images. i applied mixture of encoding and
decoding techniques BASE64,UTF16 etc. and it was my previous year summer
project. now i am interested in project which should be related to NLP and
Compression techniques.and as your given problem if we want to make offline
speech recognition then we require some data base with compression form that
occupy less space. i need platform and i am quick learner.
> 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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