Inspiration
The current pandemic situation has lowered the education quality and this inspired us to make an app to improve the education of quality
What it does
It is an OCR that converts handwritten text into digital text and also corrects the spellings
How I built it
We have used the language Python to make this application. Our OCR uses Machine Learning to convert handwritten text into digital text. We used the library Tensorflow and Open CV for Machine Learning. It also automatically corrects the spellings. We made this feature using Text Block. This website has been made using HTML, CSS, and JavaScript.
Challenges I ran into
The dataset was very large so downloading, sorting and scraping it took a lot of time. We had a hard time find good OCR packages and training the model.
Accomplishments that I'm proud of
We were able to successfully made an OCR
What I learned
We learned how to make an OCR and correct spellings instantly using python
What's next for Edu Fast
Our accuracy is not very good so we would aim on improving the accuracy.
Built With
- css
- cv2
- html
- javascript
- python
- pyttesarct
- tensorflow
- textblock
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