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@article{158577,
        author = {Swetha Mukka and Dr. K. Dasaradha Ramaiah},
        title = {Hand Gesture Recognition using AI&ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {10},
        pages = {75-81},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158577},
        abstract = {In India, a significant population of approximately 855,200 individuals are paralyzed and face significant challenges in their daily routines. These individuals represent a vulnerable minority within the disabled community and often lack sufficient support services. For these people, their ability to navigate their living spaces and communicate with others is crucial for their overall well-being. Simple activities can become very difficult without assistance or communication from others.
To address these challenges, a machine learning project has been developed that focuses on recognizing hand gestures. The project uses the convex hull algorithm to create a cost-effective gesture recognition framework that only requires the use of a bare hand. Once the gesture is recognized, it can be communicated through various channels such as audio, email, and personal message using the API integration framework. This low-cost software solution minimizes the need for additional hardware and facilitates effective communication between caretakers and those with disabilities.},
        keywords = {Artificial Intelligence, Recognition, Gesticulation, Image Processing },
        month = {},
        }