https://github.com/blackcipher101/asl-teach
A web app to teach people sign language using deep learning models
https://github.com/blackcipher101/asl-teach
deep-learning django image-processing opencv tensorflow
Last synced: 11 months ago
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A web app to teach people sign language using deep learning models
- Host: GitHub
- URL: https://github.com/blackcipher101/asl-teach
- Owner: Blackcipher101
- Created: 2020-10-05T05:50:37.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-10-27T11:50:05.000Z (over 5 years ago)
- Last Synced: 2025-02-08T05:16:51.926Z (about 1 year ago)
- Topics: deep-learning, django, image-processing, opencv, tensorflow
- Language: HTML
- Homepage:
- Size: 1.57 MB
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ASL-teach :teacher:
Sign Language :open_hands: is amazing skill to have it allows you to communicate with people irrespective thier abilites to speak and hear:ear_with_hearing_aid:. Leading to
a more inclusive society. The inspritation :bulb: came to me when I saw on the news the celebrartation of "The week of the Deaf and Dumb".
So this is bacically planning this for teaching society Sign language.
## Setup :wrench:
```
git clone https://github.com/Blackcipher101/ASL-teach.git
pip install opencv-python
pip install Django
```
### To start :old_key:
You might have to head up too Heroku-ASL set ip up or make slight change in views.py
change the link to ```https://asldetect.heroku.app//predict?```
PS: For me heroku didn't work as the model is pretty big :cry: to make changes to the model head out to ASL-detector
So set it up locally
```pyhton manage.py runserver localhost:8000```
:partying_face: Voila!! :partying_face:
## Work flow :hourglass_flowing_sand:
Go to localhost:8000 on your favroite browser:computer:
Choose a letter -> Take a photo :camera: -> check :heavy_check_mark:-> master:crossed_swords: :partying_face:
# Demo
