Real Time Sign Language Translator Using Machine Learning
Ms. Pradnya Repal
2024Journal of Artificial Intelligence Machine Learning and Neural Network11 citationsDOIOpen Access PDF
Abstract
In today's interconnected world, effective communication is fundamental. For the deaf and mute community, communicating with those who don't understand sign language is challenging. To bridge this gap, we propose a web app translating sign language into spoken or written language and vice versa. Users capture gestures with a camera, and our system, powered by Tensor Flow and advanced image processing, converts them into coherent text. Supporting various sign languages and spoken languages, it enables real-time two-way communication. This innovative solution fosters inclusivity by empowering meaningful interactions between the deaf and mute community and the general population, promoting understanding and integration.
Topics & Concepts
GestureSign languageComputer scienceSign (mathematics)Bridge (graph theory)Spoken languageLanguage interpretationManually coded languagePopulationLinguisticsArtificial intelligenceNatural language processingNatural languageSociologyInternal medicineMedicineDemographyMathematical analysisMathematicsPhilosophyHand Gesture Recognition SystemsHuman Pose and Action RecognitionHearing Impairment and Communication