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

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.

Country : India

1 D.Sowjanya2 Dabbala Chenga Arun Reddy3 Guduru Satheesh4 G.Sireesha5 A.Yamuna

  1. Student, Dept. of CSE, Mother Theresa Institute of Engineering and Technology, Chittoor (dist), Andhra Pradesh, India
  2. Student, Dept. of CSE, Mother Theresa Institute of Engineering and Technology, Chittoor (dist), Andhra Pradesh, India
  3. Student, Dept. of CSE, Mother Theresa Institute of Engineering and Technology, Chittoor (dist), Andhra Pradesh, India
  4. Student, Dept. of CSE, Mother Theresa Institute of Engineering and Technology, Chittoor (dist), Andhra Pradesh, India
  5. Student, Dept. of CSE, Mother Theresa Institute of Engineering and Technology, Chittoor (dist), Andhra Pradesh, India

IRJIET, Volume 9, Special Issue of INSPIRE’25 April 2025 pp. 273-277

doi.org/10.47001/IRJIET/2025.INSPIRE44

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