Inspiration
It has become difficult in these trying times for teachers to check students' homework, because not everyone has a laptop. But what all students do have is a phone. What is different is that the teacher need not spend time reading everyone's work from the photos submitted, and let the computer do that.
What it does
A python program that uses CV to recognize text from the images of answers students have sent. These answers are than checked as to whether they contain important keywords (for example names of chemical processes in science, or names of historical events/years/places in social science) specified by the teacher beforehand, and are alloted marks accordingly.
How I built it
Using python and google computer vision api
Challenges I ran into
A lot of module errors, some still unresolved
Accomplishments that I'm proud of
Using the latest ideas
What I learned
How to use google apis
What's next for handwriting-cv
A more receptive front end, account system and an nlp model working on the answers
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