Project IAGO

A Sign-Language interpreter developed for the Microsoft Student's Hackathon 2021.

Intsructions

1. Create a vitual environment using Python 3.7.
2. Install the required dependencies using pip3 install -r requirements.txt.
3. Set your hand histogram by running python3 set_hand_hist.py
4. You may use create_gestures.py to add create new custom gestures.
5. After this, images need to be loaded using python load_images.py
6. The model can be trained using python cnn_keras.py
7. All set! Run server.py and log in to http://localhost:5001/ to test the server!

Model Details

A convolutional neural network has been used to train the model and obtain predictions. Keras library of python has been used to train it, on a live video feed. More details are present in the model details folder.

Team Members

1. Ayan Choudhary
2. Gaurav Genani
3. Nishanth R
4. Stuti Lilani
5. Reeshita Paul
6. Shreya Bhagat