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  # Sunbird AI
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- **Building AI for Africa, from Africa.**
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  ## Overview
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- Sunbird AI is a non-profit research organization in Kampala, Uganda. We build and deploy practical applied machine learning systems for African contexts across speech/language; geospatial & environmental sensing; and public-sector decision support, with public agencies, SMEs, and community partners.
 
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  ## Mission
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- Build reliable, locally relevant ML systems for African use cases that serve public institutions, researchers, and developers for clear societal benefit.
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  ## Approach
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- - Work with universities, public agencies, SMEs, and community groups.
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  - Prioritize datasets, benchmarks, and tooling for under-resourced languages and domains.
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  - Ship code, models, and documentation that are reproducible and maintainable.
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- - When possible, release under permissive licenses with clear data provenance.
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  ## Focus Areas
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  - **Language & Speech:** ASR, TTS, translation, and language models for African languages; paired with datasets and evaluation suites.
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  - **Geospatial & Environment:** Remote sensing pipelines, urban growth and electrification mapping, biodiversity acoustics, and environmental monitoring.
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- - **Decision Support:** Tools that help public institutions analyze feedback, plan services, and monitor programs.
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  - **Data Infrastructure:** Curated corpora, annotation guidelines, and evaluation sets to support the above areas.
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  ## Openness & Responsible Use
 
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  # Sunbird AI
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+ **Practical AI for social good.**
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  ## Overview
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+ Sunbird AI is a non-profit research organization in Kampala, Uganda. We build and deploy practical AI systems for African contexts across speech/language; geospatial & environmental sensing; and public-sector decision support, with public agencies, SMEs, and community partners.
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+
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  ## Mission
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+ Build reliable, locally relevant AI systems for African use cases that serve public institutions, researchers, and developers for clear societal benefit.
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  ## Approach
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+ - Work with NGOs, universities, public agencies, SMEs, and community groups to solve challenges where AI is the right solution.
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  - Prioritize datasets, benchmarks, and tooling for under-resourced languages and domains.
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  - Ship code, models, and documentation that are reproducible and maintainable.
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+ - When possible, release models and data under permissive licenses with clear data provenance.
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  ## Focus Areas
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  - **Language & Speech:** ASR, TTS, translation, and language models for African languages; paired with datasets and evaluation suites.
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  - **Geospatial & Environment:** Remote sensing pipelines, urban growth and electrification mapping, biodiversity acoustics, and environmental monitoring.
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+ - **Evidence informed Decision Support:** Tools that help public institutions analyze feedback, plan services, and monitor programs.
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  - **Data Infrastructure:** Curated corpora, annotation guidelines, and evaluation sets to support the above areas.
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  ## Openness & Responsible Use