SIGN LANGUAGE DETECTION USING MACHINE LEARNING

March 2024
Vol-10, Issue-2
Paper ID: 22740
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Software Engneering
Keywords
Machine Learning Sign Language Detection and User-friendly interface
Abstract
Sign language serves as a crucial mode of communication for the Deaf and Hard of Hearing community. However, bridging the communication gap between sign language users and those unfamiliar with it remains a significant challenge. This final year project focuses on the development and implementation of a machine learning-based sign language detection system. The project aims to create a robust and real-time system capable of recognizing and translating sign language gestures into text or speech. Leveraging machine learning techniques, including computer vision and deep learning. The primary objectives of the project include data collection, model development, and user interface design. Data collection involves gathering a comprehensive dataset of sign language gestures performed by a diverse group of individuals to ensure the system's adaptability and inclusivity

Author Information

# Name Institute / Affiliation
1 Umar Janu Shaik Vasireddy Venkatadri Institute of Technology
2 Bhanu Prakash Vasina Vasireddy Venkatadri Institute of Technology
3 Sukesh Reddy Vinnamala Vasireddy Venkatadri Institute of Technology
4 Sadhik Basha Shaik Vasireddy Venkatadri Institute of Technology
5 Mastanbi Shaik Vasireddy Venkatadri Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
Shaik, Umar Janu, Vasina, Bhanu Prakash, Vinnamala, Sukesh Reddy, Shaik, Sadhik Basha, & Shaik, Mastanbi (2024). SIGN LANGUAGE DETECTION USING MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 338-344.
MLA Style
Shaik, Umar Janu, et al. "SIGN LANGUAGE DETECTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 338-344.
IEEE Style
Umar Janu Shaik, Bhanu Prakash Vasina, Sukesh Reddy Vinnamala, Sadhik Basha Shaik, and Mastanbi Shaik, "SIGN LANGUAGE DETECTION USING MACHINE LEARNING," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 338-344, 2024.
Vancouver Style
Shaik Umar Janu, Vasina Bhanu Prakash, Vinnamala Sukesh Reddy, Shaik Sadhik Basha, Shaik Mastanbi. SIGN LANGUAGE DETECTION USING MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):338-344.
Harvard Style
Shaik, Umar Janu, Vasina, Bhanu Prakash, Vinnamala, Sukesh Reddy, Shaik, Sadhik Basha, & Shaik, Mastanbi (2024) 'SIGN LANGUAGE DETECTION USING MACHINE LEARNING', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 338-344.
Chicago Style
Shaik, Umar Janu, et al. "SIGN LANGUAGE DETECTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 338-344.
Turabian Style
Shaik, Umar Janu, et al. "SIGN LANGUAGE DETECTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 338-344.

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