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: about 1 month 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 4 years ago)
• Default Branch: master
• Last Pushed: 2020-10-27T11:50:05.000Z (about 4 years ago)
• Last Synced: 2024-10-27T23:58:21.972Z (3 months 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