• Dr. Seema Kolkur
• Yashas Vaddi
• Nimish Tilwani
• Madhava Ved

In today's digital age, where technology continues to blur the lines between the physical and virtual worlds, the way humans interact with computers is undergoing a significant transformation. Hand-tracking technology, which has seen substantial advancements in recent years, offers a more natural and engaging way for users to interact with digital environments. By leveraging this technology, the proposed system aims to transcend traditional input methods, such as mouse and touch, which can often feel restrictive and less engaging. In addition, adding LLM to effectively process the input marks it’s possible use in various applications. This paper addresses the challenge of developing a robust and accessible hand-tracking based drawing application that works efficiently with widely available hardware, such as webcams.

Computer Vision, Hand Gesture Recognition, LLM

"Leveraging Hand Gesture Recognition and LLM for Developing a Non-Contact, Real-time Virtual, Immersive Teaching Aid", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.f13-f16, December-2024, Available :http://www.jetir.org/papers/JETIR2412503.pdf

"Leveraging Hand Gesture Recognition and LLM for Developing a Non-Contact, Real-time Virtual, Immersive Teaching Aid", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppf13-f16, December-2024, Available at : http://www.jetir.org/papers/JETIR2412503.pdf