Developed a deep learning model for real-time ASL-Alphabet image recognition. Implemented a user-friendly web interface allowing users to upload pictures or videos for instant predictions. The project aimed to enhance accessibility for individuals with hearing impairments. Overcame challenges such as limited dataset and deployment complexities, resulting in a successful project with 98.5% accuracy
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sshaikshoaib/ASL-Recognition-using-Deep-Learning-model
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