• Pratik Thakur
• Rupali Borade
• Shivani Jadhav
• Ronak Gaikwad
• Dr. Jayashree Pansare

The advancements in technology over the past few decades had made possible things that were once deemed impossible. Computer technology has been at the forefront of this revolution. The changes are seen not only in what the technology can do but also in such marvelous ways, that humans can use those technologies. Latest human-computer interface technologies like touch screen operations, voice command recognition, and such have redefined the way we interact with machines. With every step forward in interface technology, we walk a step closer to seamless operations with computers. One such medium of interaction is gesture recognition. While it is at the bleeding edge of research, it is yet a long way from being perfect. This paper aims to study the latest innovations on the subject and to provide insight into the improvements that can be made to the existing theories.

Image Recognition, Computer Vision, OpenCV, Machine Learning, Deep Learning, CNN, TensorFlow, Keras, Python.

"A Review of “Real-Time Hand Gesture Recognition using Deep Learning”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.f102-f104, May-2022, Available :http://www.jetir.org/papers/JETIR2205615.pdf

"A Review of “Real-Time Hand Gesture Recognition using Deep Learning”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppf102-f104, May-2022, Available at : http://www.jetir.org/papers/JETIR2205615.pdf