Hi Jeevan,
Currently, MuseScore uses audiveris running as a webservice to offer "Import PDF" feature. This is completely separated from MuseScore.
Audiveris represents years of work by his author Hervé Bitteur, I'm a bit doubtful anyone can implement something comparable over a summer :)
MuseScore itself has some code to open a PDF and try to guess how many staves they are per pages, how many measure per system, and what is the space between two staff lines in order to prepare a skeleton score and make it easier for people to transcribe. It's not a full OMR though, and it's not compiled by default.
Another "OMR" project could be the ability to recognize "in real time" handwritten music. This is not in the idea list, but it's maybe more aligned with your previous experience. They are many commercial implementation of this idea in mobile apps (staffpad, notateme, myscript, myMusicScore,...). I'm not aware of any open source implementation. Of course, this project is also a lot of work, especially if nothing exists already, and would probably be mainly exploratory... Still, it would be interesting to see how these concepts fit or don't fit with MuseScore current architecture.
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