### Gesture Bridge

Designed to bridge the communication gap between hearing individuals and the deaf or hard-of-hearing community.

Dataset used -> 
1.WLASL: A large-scale dataset for Word-Level American Sign Language (WACV 20' Best Paper Honourable Mention).
2.MLASL : The MLASL dataset is a large-scale collection of annotated videos showcasing over 1,000 ASL signs, designed for multilingual sign language recognition and gesture analysis.
3.ASL Alphabet : The dataset contains labeled images of static hand gestures representing the 26 letters of the American Sign Language alphabet, designed for gesture recognition tasks.

How to run the project?
Terminal 1:
  To get frontend up and running,
  1. cd frontend
  2. npm i
  3. npm start

Terminal 2:
To run backend,
1. cd backend
2. pip install -r requirements.txt
3. cd..
4. python -u  manage.py runserver > output.txt 2> error.txt

Sample texts:
1. Life journey myriad experience label relationship aspiration and resilience cover both joy and sorrow challenge and triumph navigating complexity ask balance introspection growth and empathy in this exploration we reveal beauty and secret inherent in man experience
2. Today is a good day, I met Barack Obama America president and played Football
3. I am a girl and I love everyone