Some important API's for us were the Google Cloud Vision API which we used for our OCR Text Recognition and the Wolfram Alpha API which we passed the decoded OCR text into (after converting it to the proper style of input for Wolfram Alpha) and which sent us back the images of the results of the input among other data.Īs far as libraries, we used Google's Gson library to serialize the resulting JSON from the Wolfram Alpha API.
We used Android Studio to build the design as well as the logic of the app of making API requests, getting data back, processing the data, etc. The user can then click on the share button in the top right Corner and can share the resulting images from Wolfram Alpha through email, Facebook or other means by sharing the image URLs. When they hit yes on the AlertDialog, it takes processes the text of their math problem through the Wolfram Alpha API (converting the plain text to the input text for the API) and then it opens up another screen where it displays the input, result, alternate forms, graphs, etc. An AlertDialog box then opens up asking them to verify the OCR recognition on their image and allowing them to make changes if necessary. What it doesĪt the home screen, the user is prompted to either take a live picture or use an existing image from their Android device's photo gallery of the text of a math problem. Furthermore, we had both seen the power of OCR in past hackathons by allowing users to simply take pictures of text, so we saw the great opportunity to combine OCR capabilities in mobile technology with the Wolfram Alpha API to allow quick access to solutions and help on math problems. Being heavily involved with math throughout our academic careers and learning about the Wolfram Alpha API at MHacks, we saw a way to present solutions, graphs, alternate forms, and other help to students that needed help on solving math problems.
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