VIT congratulates Priyanjali Gupta, a 3rd year computer science student for successfully building an artificial intelligence model that turns sign language into English in real time. At present, the model can translate 6 ASL signs to English such as "Hello", "Thank you", "Please", "I love you", "Yes", and "No". This is an amazing feat by Priyanjali and we wish her all the success in life in all her future endeavours and wish that she continues breaking her own records. This artificial intelligen
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VIT congratulates Priyanjali Gupta, a 3rd year computer science studen…
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A sus 20 años, Priyanjali Gupta desarrolló una IA capaz de traducir de lenguaje de señas a palabras. Sencillamente increíble, el mejor lado de la inteligencia artificial. #PriyanjaliGupta #lenguadesignos #lenguadeseñas #tecnologia #ciencia #IA #india #student #future #parainspirar #lenguajeuniversal #concienciasocial | Eh
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A sus 20 años, Priyanjali Gupta desarrolló una IA capaz de traduci…
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AI Model That Turns Sign Language Into English In Real-Time
AI Model That Turns Sign Language Into English In Real-Time
Feb 17, 2022
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Priyanjali Gupta Vellore Institute Technology built AI model, translates sign language to English
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A sus 20 años, Priyanjali Gupta ha desarrollado una IA capaz de traducir de lenguaje de señas a palabras. Sencillamente increíble 👏🏽👏🏽 | Eh
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A estudante Priyanjali Gupta, de 20 anos, desenvolveu um sistemas de Inteligência Artificial capaz de traduzir a linguagem de sinais para o inglês. Gupta, que cursa Ciências da Computação na Vellore Institute of Technology, disse que foi instigada pela mãe a criar algo de real valor “agora que estava estudando engenharia”. Foi então que teve a ideia de desenvolver o projeto de tradução que fosse capaz de realizar o processo de maneira imediata e eficaz. “Ela me fez contemplar o que eu faria com
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A estudante Priyanjali Gupta, de 20 anos, desenvolveu um sistemas d…
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A third year engineering student Priyanjali Gupta has developed an Artificial Intelligence (AI) model that is able to translate sign language into English in real-time. She is a third year computer science student at Vellore Institute of Technology. According to Priyanjali’s post, she developed the AI model using Tensorflow object detection API that can translate hand signs using transfer learning from a pre-trained model named ssd_mobilenet. | The Logical Indian
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