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Re: Regarding GSoC and contribution to DHIS2 : Scriptable SMS parsing

 

Hi Peeyush,

Welcome to the team.

A good start would be to download, install and play around with DHIS2. That will give you a feel for what we have and which improvements would be needed. You can also look at the source code, seeing which tools and languages are already in use will give you pointers to what will be the preferred tools in your project. As you will see, we have a lot of the SMS infrastructure in place already, the scriptable parser will live side by side with the key-value parser and other parsers.
A precise specification should follow from several requirements on both 
the technical side and on what is needed in the deployment around the 
world, and we would need to make sure that a project would be possible 
to get through in the time you have at your disposal.
Br,

_Andreas_

On 10. mars 2014 06:11, Peeyush Agarwal wrote:
Hi all,

I came to know about DHIS2 through GSoC and found the work being done by the organisation really interesting and would love to contribute. I found the project *Scriptable SMS Parsing* particularly interesting as I have *worked on something similar in the past* where I had built an SMS based customer engagement system for retail shops. I have also worked on parsing while implementing a project in Machine Learning (for extracting features from data).
*One way this project can be done* is by using Ruby on Rails as the 
web framework for the interface. *The interface receives the SMS* 
[content, phone number etc.] (sent to the interface by the SMS API 
provider like Twilio <http://www.twilio.com/>, Exotel 
<http://exotel.in/>(only for India) etc. by making an HTTP request to 
the interface). The *contents of the SMS are then parsed *(Preferably 
in Ruby scripting language) and then the *response is sent back to the 
phone after calling the Web API 
<http://www.dhis2.org/doc/snapshot/en/user/html/ch28.html>*. Now, one 
of the most important thing is *designing the user interface* so as to 
increase customization and mapping incoming textual data to data 
elements in DHIS2. The way this can be done is to *provide various 
options like regex based (For advanced users) as well as intuitive UI 
based (for others) ways to create formats and mapping the various 
parameters received from the SMS to the appropriate web API data 
elements*. The *interaction with people (sending SMS) can be made 
continuous* [if required] (where the new sms query is dependent on 
past queries by the user which can be recognized by phone number or 
ID) by storing the data of past queries in a database.
One feature I believe will be very useful is to *provide an interface 
to test the SMS pattern where the tester enters the sample SMS and the 
interface returns a sample output to the tester*. Also the *design 
should warn the format creator when the SMS text length may increase 
the maximum size allowed for a single SMS* (Usually 160 characters). 
An advanced version can also suggest ways of shortening the format to 
bring it in the limit. *If the limit exceeds 160 characters, the SMS 
can be broken down into 2 where the 1st one is stored in the database 
till the 2nd one arrives.*
It would be great if you could give some *feedback, suggestions and 
tips about things I may have missed out or not considered*. The tools 
suggested here (like Ruby on Rails, Ruby etc.) are the once I have 
used in the past to build something similar. However, I consider 
myself a quick learner and can learn new tools if required. I can also 
make a prototype before the application period ends if required. On a 
final note, I am very enthusiastic about the project and the way it 
can be used to improve public health and save lives.
Looking forward to your reply.

Regards,
Peeyush Agarwal
Second Year Undergraduate,
Department of Computer Science and Engineering,
Indian Institute of Technology Kanpur, India
http://home.iitk.ac.in/~peeyusha <http://home.iitk.ac.in/%7Epeeyusha>



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--
Peder Andreas Nergaard, Mobile Coordinator
HISP/DHIS2, Department of Informatics, University of Oslo
http://www.dhis2.org/
p: +47 922 47 500 - s: peder.andreas.nergaard - e: andreasn@xxxxxxxxxx


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