Gesture Recognition Using Machine Learning

Hand gesture recognition is also an important application of human–computer interaction because it enables devices to interpret and answer the motions which users perform with their palms users perform with their palms. Development in the field of deep learning and computer vision has helped the detection of gestures more precisely There are multiple layers in CNN which allow the image to be very clear and accurate to detect the gesture. Our system identifies the gestures and translates the gesture into selected language and also displays the text Here the text consists of the gesture that is detected for example if we are showing the gesture hi through the webcam The Real time frames are considered and high is displayed on the screen along with the audio output for it. Our system has been trained on various data sets which has helped the system to Detect the gesture with high accuracy and flexibility for various users also we have integrated the gesture recognition system with translation tools which can detect the gesture in five different languages This feature of a project removes the barrier of verbal and written communication The languages selected are Mostly Indian languages which can help people who might not know English to understand the gestures in their own mother tongue. Our Project mainly focuses on mainly removing linguistic barriers and providing a flexible interface for gesture recognition among the different language-based people. Ultimately, it demonstrates how artificial intelligence can enhance inclusivity, facilitate real- time interactions, and promote user-friendly technology in everyday scenarios. Key concepts include gesture recognition, CNN, human- computer interaction, multilingual translation, image classification, and deep learning.