b3njaminbaya/tafsiri-ai

Tafsiri AI - neural machine translation for low-resource African languages, with a real trained model, community review, a domain glossary, and the auth/billing/admin infrastructure a production product needs. # Tafsiri AI _Tafsiri_ is Swahili for "translation." A full-stack neural machine translation platform focused on low-resource African and Sub-Saharan languages (Swahili, Amharic, Hausa, Igbo, Yoruba, Zulu, Xhosa, Somali, Lingala, Wolof, Fulah, Ganda) alongside major world languages, with real persistence, a trained multilingual model, and the account/community/ billing infrastructure a production product needs around it. The project is organized as three cooperating services — a React frontend, a FastAPI backend, and a dedicated translation microservice — plus the Docker Compose infrastructure that ties them together with Postgres, Redis, and MinIO. ## What it does Visitors can translate text between dozens of language pairs, with optional domain-specific terminology forcing (medical, legal, technical glossaries) that guarantees a chosen term appears in the output regardless of general model quality. Every translation is persisted with a confidence score, so registered users get a real history and personal analytics, and low-confidence translations automatically enter an active-learning review queue where translators and admins can submit corrections that feed back into future model improvement. Beyond translation, the platform includes a community forum for discussion, a real blog with an admin-authored CMS, dataset upload and sharing for parallel corpora, GDPR-compliant data export and account erasure, configurable privacy/consent settings, and a Stripe-backed subscription/billing layer. An admin panel provides user management (role changes, account activation), full control over the domain glossary, and blog publishing — all gated behind role- based access control. Every optional third-party integration — email delivery, Google/GitHub OAuth, and Stripe billing — is designed to degrade gracefully. The application boots and every core feature works normally whether or not those credentials are configured; the dependent endpoint either logs what it would have …