We conducted an in-house interview with Lee Joo-heon, a college student intern in the GeoAI research team of MuhanIT.

Over the past two months, the GeoAI research team said that it was meaningful to be able to apply the theory to the practice. 

We listened to the details of my past internship with my first step in society.

The original text of the interview ▶ https://blog.naver.com/muhan_it/223565152842 

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Q. What kind of work did you do?

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We mainly worked on five major tasks, including matching structured data (workplace information) and building shapefile, AI prediction results and building shapefile matching, learning data labeling, deep learning classification model practice, and creating simple programs using OpenCV, yolo, and dlib.

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Q. How did what you learned in your major help you in your internship?

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QGIS and database I learned in my major were very helpful because I often handled shape files and tiff files. I used tools and queries such as spatial coordination and union of QGIS in the data pre-processing process. 

In the case of the GeoAI research team, deep learning classes and Python basics learned in the major were also very helpful because they worked on deep learning using Python.

Q. Is there anything interesting or difficult about your internship?

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I think it was difficult to match structured data and building shape file. During the data pre-processing process, unexpected situations continued to appear, and I was worried about causing inconvenience to the team. However, everyone was kind enough to help and pay attention, so I was able to finish it off well. 

I think there are countless fun things. When the senior researcher taught me the theoretical part of deep learning, it was interesting because he taught me clearly and concisely, and it was also fun when making programs such as facial recognition and attendance check using cameras. Outside of work, I think the small conversations I had with the researchers made me work with a smile.

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The original text of the interview ▶ https://blog.naver.com/muhan_it/223565152842