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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VIT engineering student Priyanjali Gupta, inspired by her mom's challenge, developed an AI model translating American Sign Language to English using the Tensorflow object detection API. #ONPASSIVE #AI #artificialintelligence #TensorFlow #technology #technews #TheFutureOfInternet #signlanguage #americansignlanguage #techtrends | ONPASSIVE
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Computer Science Student Creates An AI-Based Model That Translates Sign Language To English! Inspired by her mother's challenge to apply her engineering studies effectively, Priyanjali Gupta, a third-year computer science student at the Vellore Institute of Technology, embarked on a project in February 2021. Leveraging the TensorFlow Object Detection API and transfer learning with ssd_mobilenet, she developed a model for American Sign Language (ASL) recognition. Collecting data through a webcam,
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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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