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@article{160384,
        author = {Avishkar More and Roshan Pandav and Dr.Sangita Bharkad and Saurabh More  and Riya sonwane  and Sarang Shete},
        title = {Sign Language Interpreter using Deep Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {1},
        pages = {804-810},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160384},
        abstract = {The Communication with signs has long been an important means of communication among the hearing and speech impaired, who are often called deaf-blind. For these people, sharing their words with others is the only form of communication, so other people must understand their words, fingers according to American Sign Language [Fig.1] using neural networks. In our method, the frame of image first passes through the filter, then image passes through the process that predict the direction class. This app will help you learn the language. The data used is the Indian Sign Language dataset. The application, which can be used in schools or everywhere, will facilitate communication between the disabled and the dis abled. The plan can be used to make learning the language easier.

},
        keywords = {},
        month = {},
        }