Vaea Garrido@Elenafox77

Introducing RAGfier: An AI-powered communication tool that seamlessly translates sign language gestures into spoken language and vice versa, empowering sign language users to communicate effortlessly across various platforms. With text-to-sign language translation and real-time feedback, RAGfier revolutionises inclusivity, fostering accessible communication in healthcare, education, and daily interactions. RAGfier is an AI-powered communication tool that utilizes real-time sign language translation to bridge the gap between sign language users and the hearing world. - Real-time sign language translation: RAGfier converts sign language gestures into spoken language and vice versa, facilitating seamless communication between sign language users and hearing individuals. - Text-to-sign language translation: RAGfier can translate written text into sign language, making it easier for sign language users to access information and engage with digital content. - Sign language recognition and feedback: RAGfier provides feedback to sign language users, helping them improve their signing accuracy and fluency.

Doctor_Assistant_and_Medical_Image_Analyst is an innovative virtual assistant designed specifically for healthcare professionals, particularly in rural areas with limited internet access. This project aims to enhance patient care by providing quick access to accurate, evidence-based medical information and treatment options, enabling doctors to make informed decisions even in challenging environments. By utilizing offline capabilities, the assistant allows healthcare providers to retrieve essential medical data and analyze images without relying on constant internet connectivity. This feature is crucial in remote settings, where timely access to information can significantly impact patient outcomes. Ultimately, the project seeks to empower doctors in underserved regions, ensuring they have the tools needed to deliver effective and safe care.