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• Developed a Machine Learning Model, OHMEE, for recognizing and solving offline handwritten mathematical expressions (OHME), utilizing image data from documents, images, papers, and transcripts. • Developed user-defined mathematical methods to evaluate the solved string expressions, generating and plotting appropriate results.

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KrishnamMantena/Offline-Handwritten-Expression-Evaluator

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.gitignore

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README.md

README.md

 
 

calsolve.py

calsolve.py

 
 

demo.py

demo.py

 
 

eq_solver.h5

eq_solver.h5

 
 

le_solve.py

le_solve.py

 
 

model.json

model.json

 
 

model_weights.h5

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qe_solve.py

qe_solve.py

 
 

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Handwritten-Expression-Solver

-> In this project we created a Machine Learning model which can recognize and solve handwritten equations containing symbols :

x y z 0 1 2 3 4 5 6 7 8 9 + - * /

This system can solve:

Calculator expressions

Linear Equation in two variables

Higher order equations and polynomials

Libries used:

  1. tkinter
  2. PIL
  3. cv2
  4. numpy
  5. pandas
  6. urllib.parse
  7. tensorflow
  8. matplotlib

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• Developed a Machine Learning Model, OHMEE, for recognizing and solving offline handwritten mathematical expressions (OHME), utilizing image data from documents, images, papers, and transcripts. • Developed user-defined mathematical methods to evaluate the solved string expressions, generating and plotting appropriate results.

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python tensorflow numpy svm pandas pil tkinter matplotlib cv2 urlib

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