Teaching and learning-related activities have embraced digital technology especially, with the current global pandemic restrictions pervaded during the last two years. On the other hand, most of the academic and professional presentations are conducted using online platforms. But the presenter-audience interaction is hindered to a certain extent in an online case in contrary to face-to-face where real-time writing is beneficial when sketching is involved. The use of digital pens and pads is a solution for such instances, though the cost of acquiring such hardware is high. Economical solutions are essential as affordability is concerned. In this study, a real-time user-friendly, innovative drawing system is developed to address the issues related to the problems confronted with online presentations. This paper presents the development of an algorithm using Hand Landmark Detection, which replaces chalks, markers and regular ballpoint pens used in conventional communication and presentation, with online platforms. The proposed application in this study is acquired by Python and OpenCV libraries. The letters or the sketches drawn in the air were taken straight to the computer screen by this algorithm. The proposed algorithm continuously identifies the Hand Landmark using the images fed by the web camera, and text or drawing patterns are displayed on the screen according to the movements made by Hand Landmark on the image space. The developed user interface is also user-friendly. Hence the communication of letters and sketches were enabled. Although the concept has been developed and tested, with further research the versatility and accuracy of communication can be enhanced.
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