• Aditya Tapase
• Heena Pathan
• Mohammad Faiyyaz Sheikh
• Rabiya Siddiquee
• Shreya Rajgire

With its innovative approach to virtual navigation, the Gesture Surf: Effortless online Exploration system uses Python automation and computer vision to provide fluid online surfing. By offering a substitute for conventional input devices like a mouse and keyboard, this system seeks to improve user comfort. It is especially helpful in situations where regular devices are not accessible or are malfunctioning, or when users would rather engage hands-free. The system uses hand gestures that are taken with a webcam and processed by OpenCV and Python's Media pipe module to make web interface navigation simple for users. The system tracks hand motions, interprets gestures, and carries out operations like opening new tabs and clicking links using Python, OpenCV, Numpy, autopy, and PyautoGui. This abstract highlight the possibilities of a gesture-enabled browser navigation system by outlining its development and functioning. for easing the physical strain that comes with using conventional input devices over extended periods of time and streamlining human-computer interaction.

Touch-based exploration, Gesture-driven browsing, Interactive web experience, Effortless surfing

"GESTURE SURF: EFFORTLESS WEB EXPLORATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.g595-g602, May-2024, Available :http://www.jetir.org/papers/JETIR2405673.pdf

"GESTURE SURF: EFFORTLESS WEB EXPLORATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppg595-g602, May-2024, Available at : http://www.jetir.org/papers/JETIR2405673.pdf