Previously when Artificial Intelligence (AI) and Machine Learning (ML) was not so developed, it was very difficult to understand the sign language as it changes from person to person and country to country for depicting a particular word. Also, it was complicated for those having difficulties in speech and hearing to convey and understand the message to/from other. But nowadays, it has become very easy with the help of AI and ML by image processing and by creating the dataset of images and neural networks with hand contour. But still there are lots of problem with present system because we need faster and accurate recognition of the gestures to communicate in efficient way. Hence, we tried to model and create such system which has faster and accurate hand gesture processing with dataset of continents in ASL (American Sign Language) using Yolov5 and Makesense.ai. Hence, it will prove the quality of communication for betterment of current system

(Artificial Intelligence, Machine Learning, Hand Gesture, Yolov5, Makesense.AI, Unified Modeling Language)