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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM39072
Volume:
8 |
12 |
Dec 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This project explores a gesture-based drawing application that leverages computer vision and machine learning to enable users to draw and erase using hand gestures. Utilizing OpenCV and MediaPipe, the system captures hand movements through a webcam, allowing the user to control drawing functions without physical contact. Users can toggle between drawing, erasing, and pausing modes using keyboard shortcuts, with support for both right- and left-handed preferences. The integration of Gemini AI further enhances the application by interpreting handwritten or sketched mathematical expressions and solving them in real-time. This approach not only provides an innovative way to interact with virtual environments but also serves as an educational tool, offering a hands-on experience with AI-driven handwriting recognition. Future enhancements could include 3D holographic displays and gesture-based virtual screen control, positioning the project at the forefront of immersive user interfaces. This project demonstrates the potential for intuitive, gesture-based applications in education and digital artistry.
KEYWORDS
Publication Date
3/11/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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