Page 783 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
6. Insights and Recommendations VIII. FUTURE SCOPE
 Summarize findings that show how the system improves In the future, the proposed eye-tracking system can be
early detection of eye diseases. expanded to detect a broader range of eye and neurological
conditions. By refining the algorithms and incorporating
 Highlight areas for further improvement:
· Increasing the dataset size for better generalization. more sophisticated data from eye movements, the system’s
· Enhancing the algorithm to handle edge cases. adaptability and accuracy can be significantly improved.
· Adding advanced preprocessing techniques for Integrating advanced machine learning models and
increasing the diversity of the dataset will further enhance
noise reduction.
the system’s performance.
VII. CONCLUSION REFERENCES
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The success of this system underscores its potential as a [4] OpenCV Eye Tracking: Step-By-Step With Code by
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Amit Yadav (12, 2024).
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