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Hey there. I struggled to find an interesting research topic for my Master thesis so I can put my full effort and finish it on time. But it appeared that this is the first challenge that takes so much time. For now, I have 2-3 topics that make me curious think about them, and I am mostly focused on "Azerbaijani Sing Language to text" which is a project that will be used by the Government Services of Azerbaijan (in short ASAN) which serve to the citizens of Azerbaijan.

The problem is that it is very hard for the deaf community of Azerbaijan to communicate (and clarify their issue) in daily life, especially in ASAN branches. In order to ease their life and speed up the service process someone is needed to build the API which receives a video of a person signing as an input and outputs the result as a sentence in Azerbaijani. In addition to that, for a full conversation between a deaf person and a serviceman API should be able to read a text in Azerbaijani and create a video (separate image frames combined together) which describes all the signs for the sentence.

In order to build and train the model, I will need to gather a lot of images containing signs that are used in Azerbaijani Sign Language with a correct label. And this is the tricky part as there is no source for any image containing Azerbaijani Sing Language, and even if I find some on social networks there is no label mostly.

So, I came up with some possible solutions to collect some data with correct labels.

First, a Telegram bot. I will build and deploy a bot in Telegram as it is commonly used among people nowadays in Azerbaijan. I will try to share that app through all the channels, including ADA university, ASAN community (as they have thousands of volunteers), social networks, etc. The bot will ask a user to upload a video and then send a sentence which contains words corresponding to each image in the video.

Second, TV shows. I do remember that there were a few shows in the Azerbaijani Television channel that were supporting the deaf community by translating everything to sing language and showing it on the bottom right corner of the video. I will try to reach them, persuade them that with their help (and data) I will be able to come up with a solution. I hope this will be a great source of images for formal language of Azerbaijan.

Third, surprise support from Ministry of Social Affairs of Azerbaijan. As this project is fully supported by Ministry of Social Affairs of Azerbaijan we have a ML scientist working on this project in the Ministry. I will contact her and check whether she has more resources for data collection.

As I think about this project, I believe that there will be many emerging resources through the process of data collection and analysis.

I'm Samir Dadash-zada and I am a Master student in the joint program of Master of Science in Computer Science and Data Analytics program by ADA and George Washington University. This post is meant to be introduction only. 🙂

I was born in Baku, Azerbaijan and lived my whole life there. Even though I did my Bachelor in Economics (Finance) and worked in Banking fields as a Risk Management Specialist, I decided to make a big change to learn Computer Science. I feel very happy about it. 🙂

There are so many topics in CS that I would love to explore if I had an infinite life battery. 3 of the most probable ones are AI techniques applied in healthcare systems, CPU and Memory optimizations, Robotics used in Logistics. I hope that I will be able to explore at least 2 of these fields in the future.

I am newly married (during the finals of the first semester 😐 ). I am fond of sports, especially Judo, Football, Ping-pong, Swimming, and many more.

I am working remotely for an Azerbaijani company called Simbrella that also finances some of my living costs in Washington, DC.

This is the end.

Thanks for reading till the end. 🙂

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