At present, the world comprises more than about 430 million deaf-mute people. And even among them ASL is the most widely used sign language in the world. Because of their limitations to communicate with the rest of the society, in hopes of bridging the gap between them and ordinary people, there is no actual method or a product that is both easy to use and professionally invented.
#### Main Research Question
As everyone knows, there exist a communication barrier between the deaf-mute people and normal people. Therefore an urgent need for a product which can Translate both sign language and natural language arises.
#### Main Objective
- The main objective of our team is to develop a **web app** to do **real-time sign language translation** to text and vice versa.
#### Sub Objectives
1. Detecting and identifying Sign language (hand/face gestures)
2. Predicting grammatically correct sentences using the words relevant to the given sign and narrating them
3. Translating text in images to sign language
4. Translating input text to sign language and implementing sign language keyboard