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@article{200607,
        author = {Aman Mahesh Mishra and Vedang Anand Nimdeokar and Sanketsingh Jayantiprasad Thakur and Abhay Gajanan Chorey and Dr.K.N.Tayade},
        title = {Real-Time Sign Language to Speech Converter Using MediaPipe and OpenCV},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {2962-2965},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200607},
        abstract = {The communication problem of specially enabled people is very crucial for their literacy and development. This paper presents a Real-Time Sign Language to Speech Converter using Computer Vision and Deep Learning. The system captures hand gestures through a camera and processes them using OpenCV and NumPy. A Keras-based model trained on a custom dataset recognizes gestures and converts them into text. The generated text is then converted into speech using a Text-to-Speech system. This paper presents the solution to bridge the communication gap between hearing-impaired individuals and others by enabling real-time and effective interaction.},
        keywords = {},
        month = {May},
        }