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Handwritten Math Problem Solver Using Convolutional Neural Network
Abstract: The main objective of this project to develop an Website which calculates the presents a Handwritten Equation Solver trained by handwritten digits and mathematical symbol using Convolutional Neural Network with some image processing techniques to achieve a decent accuracy of 98.46%.
Keywords: Machine learning, Python, Handwritten Equation, Simplification, Preprocessing, Segmentation, Implementation, Recognition, CNN, Polynomial expressions, Image processing.
How to Cite:
[1] Mohini Lokhande, Kirti Murudkar, Arbaaz Nadaf, Niyati Shah, “Handwritten Math Problem Solver Using Convolutional Neural Network,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.105139