Hello Aaron and Oscar Sir, I am a contributor, but I had an idea which could be used as a GSoC project. As per as my knowledge this feature doesn't exist yet in SymPy, so I would like some validation and feedback from your end. *A robust hand written Mathematical symbolic expression pipeline, with formal verification, resolving for any ambiguity, and SymPy native parsing and evaluation.* Input is taken as a hand written math expression (image) and then output is given in form of SymPy Code or evaluated output. Further, this can be implemented with a LLM to provide AI based insights on the expression - if its accurate, logical or etc.
Please do provide your feedback for this idea. And, I am looking forward to working with you guys for this year's GSoC! Thank You, Arka Saha On Friday, 23 January 2026 at 07:21:01 UTC+5:30 Oscar wrote: > On Thu, 22 Jan 2026 at 17:48, Aaron Meurer <[email protected]> wrote: > > My > > suggestion would be to have a policy that LLMs are not allowed to be > > used when writing the application, except for use for > > translation/cleaning up the grammar of the text. > > I don't think that we should list any exceptions like that. The > reality is that if I am ranking applications then anything that > remotely looks like the output of an LLM will be straight in the bin. > It might be that they did not use an LLM but just wrote something that > resembles an LLM: it will still be in the bin. I don't think we should > allow anyone to be confused about that. > > -- > Oscar > -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion visit https://groups.google.com/d/msgid/sympy/bafdff2f-d0fb-4a1f-ab22-978c50c6841en%40googlegroups.com.
