Since @grantw99 found that tesseract-ocr-equ was basically non-functional when it came to extracting features from handwritten math sentences, the idea of using MathPix's public API to do prototyping.
This approach would still allow us to make our own machine learning Intelligent Character Recognition model later in the project, while letting us prioritize application features at this stage.
We need to get our flask application talking to MathPix's API. Ideally someone could explore the API a bit, figure out how it works, write some tests, then we implement it in a way that lets us switch to our own model later if we wish.
Since @grantw99 found that tesseract-ocr-equ was basically non-functional when it came to extracting features from handwritten math sentences, the idea of using MathPix's public API to do prototyping.
This approach would still allow us to make our own machine learning Intelligent Character Recognition model later in the project, while letting us prioritize application features at this stage.
We need to get our flask application talking to MathPix's API. Ideally someone could explore the API a bit, figure out how it works, write some tests, then we implement it in a way that lets us switch to our own model later if we wish.