HANDS-WE SPEAK

Inspiration - Everyone wants to communicate , then why not everyone ?

What it does - It helps us to understand the person whom we can't hear but feel

How we built it - Using transfer learning approach we tried to built a deep learning model over Indian sign language dataset

Challenges we ran into-model was inaccurate and feature extraction was a heck in this task

Accomplishments that we're proud of- It helps the disabled feel accepted and not an outlier , as here we are doing something for them.

What we learned- flask , next.js , teamwork ,machine learning approaches.

What's next for HANDS-WE SPEAK- will try to redevelop with an android application along with a tutorial for common man to understand

Built With

• deep-learning
• flask
• graph-convolutional-network
• kaggle
• next.js
• npm
• python
• pytorch