In our day-to-day life, speech is one of the mostly used medium to communicate and express one’s feelings. But this medium can’t be used by the people who can’t speak and hear. This hinders their communication with the outside world. Even, the similar problem is faced by the persons, who are working as a caretaker for such people. To overcome this problem of effective communication, in this project work, we have developed an interface using Morse code to communicate with people who are suffering from disabilities and can’t express their feelings. The idea is to use the eye blinking of the person with disabilities and converting it into the Morse code in order to establish successful communication. Now, with the help of these eye blinks, dot will be recognized by a short eye blink and dash will be recognized by a long eye blink. These eye blinks are captured by using camera and hence, we can generate the Morse code. The captured code could be then converted into the respective language with the help of an algorithm. A simple algorithm has been developed by using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) with the help of libraries viz. (dlib, open cv). Eye Aspect Ratio (EAR) has been estimated using the feature points of the eyes. In this project we have generated the output in the form of dash and dots and convert the obtained output into respective speech.