AIR CONVAS AND SIGN LANGUAGE DETECTION USING DEEP LEARNING

Authors

  • Dr.Raziyabegum Author

DOI:

https://doi.org/10.48047/rn2wnc77

Keywords:

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Abstract

The project aims to develop an develop Communication barriers exist for the hearing and speech impaired, making sign language a vital means of interaction. However, a lack of widespread sign language literacy limits effective communication between hearing-impaired individuals and those who do not understand sign language. This project aims to bridge this gap by leveraging AI-based camera systems

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Published

06.05.2025

How to Cite

AIR CONVAS AND SIGN LANGUAGE DETECTION USING DEEP LEARNING. (2025). International Journal of Information and Electronics Engineering, 15(5), 78-86. https://doi.org/10.48047/rn2wnc77