 Hello. Yes. I developed a handwritten text recognition model for Nepalese manuscripts written in the Pratulat script, like those that you can see here on the on the folio that I screenshot it here. And this model that I developed as part of an AHRC funded project at Soas University of London. Essentially as is made to recognize Pratulat and transcribe it into Pratulat Unicode and one of the one of the main difficulties I had in creating this model was essentially baselines or layout recognition. As you can see here in this picture, this is these are the results that I got using using I think it was using the Tibetan Pecha layout recognition model. I got pretty good results with universal lines, but it also requires a lot of manual correction. There are a lot of other issues. One of them is that there are very few manuscripts, either in Sanskrit or Nehwar, and those are the two languages which the manuscripts that I was working with were in. There were very few fully diplomatic additions to work with, so I had to essentially I bootstrapped Sanskrit additions of some Sanskrit texts, which had which had versions in manuscript form, and that sped up the process considerably. And so using about four different manuscripts to in two of them in Nehwar and two of them in Sanskrit, I was able to, in training the model in 2022, I was able to get a character error rate of 2.6 and then essentially correcting correcting new transcriptions and then refeeding them into the model, I was able to get a character error rate of 2.0. I also deposited my data in the Heidelberg University system, the Haydata system, and yeah, this is really part of a bigger project that I'm involved with, whose goal is essentially to create a corpus of Nehwar, and since there are so few existing transcriptions of Nehwar manuscripts or texts at all out there, whether diplomatic or edited, this is really one of the first steps in our pipeline. And so it was really, really essential, and it's something that I'm still working on. So yeah, and I think that is about all that I'll say for now. Thank you.