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Device and System Design  \n• The learning tool will be built using  Raspberry Pi or similar hardware.\n• It will include a microphone and speaker for voice input and output.\n• Speech recognition and synthesis will be handled by offline software tools such as Vosk and\neSpeak.\n• The device will use a local database to store session data and learner progress.• Power options will include USB charging and support for solar input to suit off-grid\nenvironments.\n2. Content and Interaction Flow\n• The system will present educational exercises through spoken prompts.\n• Learners will respond verbally, and the system will evaluate and reply using voice.\n• Exercises will be aligned to early primary school topics in English, Math, and Science.\n• All interactions will be generated dynamically; no pre-recorded lessons or external audio\nfiles will be used.\n3. Web-Based Monitoring Dashboard\n• An online platform will allow educators and caregivers to:\n• View learner activity logs (e.g., time spent, topics attempted, responses).\n• Sync progress data from the device when internet becomes available.\n• Apply updates to content logic or system settings as needed.\n• The platform is optional for daily use but enables improved tracking and remote\nmanagement.\n4. Pilot Testing\n• A pilot phase will be conducted in 3–5 rural schools.\n• Observations and feedback will be collected on:\n• Usability of the device by young children\n• Accuracy of speech recognition and voice clarity\n• Navigation flow and engagement during interaction\n• Insights will guide final refinements before broader deployment.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmelau-eddy%2Fshulevoice","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmelau-eddy%2Fshulevoice","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmelau-eddy%2Fshulevoice/lists"}