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@article{189863,
        author = {Pratiksha Ranavare and Sanika Mhatugade and Rajeshwari Kumbhar and Mayuri Patil},
        title = {Sign Language Recognition System Using Machine Learning And Python},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {604-607},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189863},
        abstract = {Sign language is the primary mode of communication for people with hearing and speech impairments. This paper presents a real-time Sign Language Recognition System that converts hand gestures into text and speech using computer vision and machine learning techniques. The proposed system uses a webcam to capture hand gestures, Media Pipe for detecting hand landmarks, and machine learning algorithms such as Random Forest and Support Vector Machine for gesture classification. Recognized gestures are converted into text and further transformed into speech using a text-to-speech module. The system is low cost, easy to use, and works in real time without requiring special sensors or gloves, making it suitable for practical communication assistance.},
        keywords = {Sign Language Recognition; Machine Learning; Media Pipe; Computer Vision; Hand Gesture Recognition},
        month = {January},
        }