Update

Author: harshbg

README.md

@@ -43,7 +43,7 @@ This will help you in installing all the libraries required for the project.
 
 * Run `set_hand_hist.py` to set the hand histogram for creating gestures. 
 * Once you get a good histogram, save it in the code folder, or you can use the histogram created by us that can be found [here](https://github.com/harshbg/Sign-Language-Interpreter-using-Deep-Learning/blob/master/Code/hist).
-* Added gestures and label them using OpenCV which uses webcam feed. by running `create_gestures.py` and stores them in a database. Alternately, you can use the gestures created by us [here]().
+* Added gestures and label them using OpenCV which uses webcam feed. by running `create_gestures.py` and stores them in a database. Alternately, you can use the gestures created by us [here](https://github.com/harshbg/Sign-Language-Interpreter-using-Deep-Learning/tree/master/Code).
 * Add different variations to the captured gestures by flipping all the images by using `flip_images.py`.
 * Run `load_images.py` to split all the captured gestures into training, validation and test set. 
 * To view all the gestures, run `display_all_gestures.py` .