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AI for Good-Innovate for Impact



               Multi-modal content analysis (visual , audio & text) using computer vision and AI dubbing
               technology, sign language model training, Public Health (WHO) policy triggers. If given
               scholarship we would set up a data simulator which reflects the data generation from a variety of
               sources such as audio, visual and text, including historical records, online existing sign language   42 - PSG
               imagery/ videography in African National sign languages. This would include spatial coverage
               of public health institutions and new content alerts from telecom providers via the AI platform.

               Prediction on policy triggers in Health and impacts on resource allocation in African Sign
               Languages , including readiness will be demonstrated and published with the simulated data
               patterns via Public Platforms which can be accessed remotely using multiple Tecomms Service
               providers with last mile connectivity.


               42�3� Use case requirements
               •    REQ-01: Live Sign Language Translation Tool - Develop an AI-powered live sign language
                    translation tool capable of translating between at least 25 African sign languages and
                    spoken/written language in real-time.
               •    REQ-02: The application of the use case: Purple Signs - ITU Telecom World.
               •    REQ-03: Content Creation and Dubbing - Use AI to create and dub content into sign
                    language, making information accessible to the deaf community.

               42�4� Sequence Diagram


























               42�5� References


               [1] HIPH and Purple Signs Global

               [2] Pharmaceutical Society Of Zimbabwe Joint Congress [PSZ] , 2018 (PSZ , 2019)

               [3] Zimbabwe Medical Association Annual Scientific Congress  Journal , 2019














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