GDGVIT
Adapting to users handwriting
- Perhaps you could request the user to write all the alphabets in a blank sheet of paper
- separately parse it with OCR
- substitute that against the pre defined images of each letter.
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@harshil15999 that is part of the roadmap, as you can see in the README. The OCR based approach will give us a deterministic single output image for each letter, and that will have to be extended to multiple image instances of that letter so that the output can be randomized. To automate this process, we can use a machine learning model. Feel free to contribute if you'd like, that'll speed things up a lot. And feel free to leave any questions you might have if you do!
