• Aarya Rajendra Deshpande
• Vaishnavi Ram Pataskar
• Rucha Rupesh Bhalerao
• Sarika U. Kadlag

Among the most useful body parts of a human being are the hands. Human hands are one of the few appendages that have opposable thumbs that are useful in various tasks such as the making and use of tools. This edge has been essential in the development of the large scale technologies and the growth that we see today. The hands are an intuitive and natural means of communication that is nonverbal in nature. Therefore, the use of hands comes to humans very naturally that can be highly useful in designing tools and other hand held objects. This has led to the designing of various interfaces that have been facilitating the connection between the man and the machine. This leads us to the touch screen devices that are being used for majority of the human machine interactions. But this can be further improved to facilitate the utilization of gestures of the hand to get the interaction. This calls for a fresh approach to e-commerce that incorporates gesture-based engagement. The suggested method uses Convolutional Neural Networks for gesture identification and interaction of the e-commerce software, making it possible to shop using just hand gestures.

E-commerce, Gesture Recognition, Convolutional Neural Networks.

"Navigating Shopping Application through Gesture Recognition using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.b473-b478, May-2023, Available :http://www.jetir.org/papers/JETIR2305163.pdf

"Navigating Shopping Application through Gesture Recognition using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppb473-b478, May-2023, Available at : http://www.jetir.org/papers/JETIR2305163.pdf