Abstract:
The Sign Flow Translator App is designed to bridge the communication gap between the deaf and hearing communities by translating Pakistani Sign Language ( PSL ) gestures into text in real time. The SignFlow Translator App aims to bridge this gap by providing a real-time, AI-powered sign language translation system. Leveraging Computer Vision, the application translates sign language gestures into grammatically correct text. Built using modern frameworks such as Flutter for mobile application development and Django for backend, the app supports multi-modal inputs through live webcam feeds. The project adopts an Agile development methodology, ensuring iterative improvements across data collection, model training, and UI/UX design. Though limited in initial scope to text-only and one-way communication. SignFlow sets a strong foundation for scalable and accessible sign language solutions across healthcare, education, and public service sectors.
