This repository contains an analysis of images of Kenya Sign Language(KSL) and aims at being able to interpret images in nine classes namely; church, me, you, love, temple, seat, mosque, friend and enough. I also created an interface using streamlit through which you can interact with the trained model. The application can be accessed here.