Hello everyone,

I have been contributing to SymPy and engaging with the community for a few 
months now. I’ve fixed bugs, participated in discussions, and opened 
issues. Thus I have gained some familiarity with the codebase, also I have 
been programming in Python for 2+ years.

I'm interested in contributing to SymPy Mechanics for GSoC 2025, 
specifically under the project *"Classical Mechanics: Implement Wrapping 
Geometry and Pathways for Musculoskeletal Modeling" *as listed on the ideas 
page.

I've been exploring and studying the existing WrappingCylinder and 
WrappingSphere classes, as well as the LinearPathway and ObstaclePathway. I 
believe a valuable addition would be:

   1. *WrappingEllipsoid* and *WrappingCone*: These can model more complex 
   muscle wrapping geometries around bones/joints, extending the current 
   wrapping surfaces. 
   2. *GeodesicPathway*: This pathway would compute the shortest path along 
   a curved surface (any instance of a wrapping geometry) between two 
   attachment points, capturing more realistic muscle routing in biomechanical 
   models. 

*Implementation Plan:* 

   - *WrappingEllipsoid & WrappingCone:*
      - Extend the existing WrappingGeometryBase class, ensuring all the 
      required methods are implemented.
      - Define parametric equations for the surfaces and add methods to 
      compute geodesic lengths and end vectors.
         - *GeodesicPathway:* 
      - Implement a general GeodesicPathway class that computes the 
      shortest path along a surface (geometry) given two attachment points. 
      - Use differential geometry principles to compute geodesic equations 
      and solve them symbolically using SymPy’s dsolve. 
      - Integrate force calculation along the geodesic (similar to 
      LinearPathway.to_loads method) so that it can be used to generate 
equations 
      of motion with Kane/Langrange method. 
      - Ensure it can interact with any WrappingGeometry object.
   
As with any software development endeavor, these additions will be 
accompanied by exhaustive tests, documentation and example usage.

I think these additions could significantly enhance the biomechanics 
modeling capabilities of SymPy, especially for musculoskeletal simulations.

I'd love to hear any feedback, especially on:

   - The feasibility of computing geodesics symbolically especially in more 
   complicated scenarios using dsolve. 
   - Anything I may have overlooked. 
   - Any suggestions on aligning this work with SymPy's current design. 

Would this contribution align well with SymPy's current roadmap? I'm open 
to any guidance or suggestions to refine my approach.

Thanks!
Rushabh Mehta

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