International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Look Cursoral AI: Machine Learning Enhanced Eye-Powered Interaction

D.SowjanyaStudent, Dept. of CSE, Mother Theresa Institute of Engineering and Technology, Chittoor (dist), Andhra Pradesh, IndiaDabbala Chenga Arun ReddyStudent, Dept. of CSE, Mother Theresa Institute of Engineering and Technology, Chittoor (dist), Andhra Pradesh, IndiaGuduru SatheeshStudent, Dept. of CSE, Mother Theresa Institute of Engineering and Technology, Chittoor (dist), Andhra Pradesh, IndiaG.SireeshaStudent, Dept. of CSE, Mother Theresa Institute of Engineering and Technology, Chittoor (dist), Andhra Pradesh, IndiaA.YamunaStudent, Dept. of CSE, Mother Theresa Institute of Engineering and Technology, Chittoor (dist), Andhra Pradesh, India

Vol 9 No 25 (2025): Volume 9, Special Issue of INSPIRE’25 April 2025 | Pages: 273-277

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.INSPIRE44

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Abstract

This project introduces LookCursorAi, a revolutionary human-computer interaction system that harnesses facial recognition technology to provide a handsfree, intuitive, and responsive user experience. Designed to enhance accessibility and inclusivity, particularly for individuals with mobility impairments, this innovative solution leverages Python, OpenCV, and pyautogui to track facial movements, detect landmarks, and recognize gestures, effectively controlling the cursor. Key features include realtime facial detection, cross-platform compatibility, performance optimization, and a user-centric interface. By eliminating traditional mouse and keyboard dependencies, LookCursorAi fosters a more inclusive computing environment, promoting enhanced user satisfaction, efficiency, and accessibility.

Keywords

Human-Computer Interaction, Facial Recognition Technology, Landmark Detection, Accessibility, Hands-Free Computing, Real-time Processing, Computer Vision, Gesture Detection


Citation of this Article

D.Sowjanya, Dabbala Chenga Arun Reddy, Guduru Satheesh, G.Sireesha, & A.Yamuna. (2025). Look Cursoral AI: Machine Learning Enhanced Eye-Powered Interaction. In proceeding of International Conference on Sustainable Practices and Innovations in Research and Engineering (INSPIRE'25), published by IRJIET, Volume 9, Special Issue of INSPIRE’25, pp 273-277. Article DOI https://doi.org/10.47001/IRJIET/2025.INSPIRE44

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