Healthcare Application Using Indian Sign Language

– The absence of standardized and easily available technology solutions for people with disabilities—especially those who use Indian Sign Language (ISL) to access vital services like healthcare—means that there are still significant communication hurdles in India. Unlike American Sign Language (ASL), which is mostly one-handed, ISL relies on intricate two-handed motions, which creates unique difficulties for software-based interpretation systems. The lack of extensive, standardized ISL datasets, which are essential for developing precise machine learning and gesture recognition models, exacerbates these difficulties even further. The lack of a complete ISL-based solution still prevents ISL users from accessing essential services like healthcare, even with improvements in sign language recognition technology. Although several platforms provide sign language translation, the majority are not prepared to deal with the particular needs of ISL. In addition to investigating recent developments in ISL translation, gesture recognition, and letter recognition, this project seeks to create an ISL communication system especially suited for hospital situations. The foundation for improved ISL accessibility in the healthcare industry and beyond will be laid by investigating fundamental techniques including deep learning, machine learning, and real-time processing.