austinLorenzMccoy/naija-oracle
Naija Oracle is a sophisticated dual-agent LLM system that reads how real Nigerian users think, speak, and choose — then simulates their voice to generate authentic reviews and delivers hyper-personalised recommendations tuned to Nigerian consumer context.
SUMMARY AI summary by gpt-5-mini
Naija Oracle is a dual-agent LLM system that models Nigerian consumer voice and behavior to generate authentic reviews and deliver hyper-personalized recommendations. It is intended for ML engineers, recommender-system researchers, product teams and developers building consumer experiences for Nigerian users or other underrepresented cultural contexts. Key features: a persona simulator and Cultural Voice Index producing Pidgin-inflected, context-aware review generation; a recommendation ranker tuned for Nigerian product categories; cold-start onboarding and persona voice fingerprints; FastAPI backend and React/Next frontend; Supabase/Postgres with pgvector; PyTorch training pipelines, DVC, Groq LLaMA API fallback, and Docker Compose for full-stack deployment.
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| Created on GitHub | 2026-05-08 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 18:19 |
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