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Naftaliza/fana_naftali_amharic_helper

Domaine:

natural language processing

Type de record:

softwaretools
Créateur:
Naf
Hôte:
# Amharic Helper Help Amharic-speaking residents of Israel understand official Hebrew documents (government, bank, insurance, healthcare, municipality, employer). Upload a document → OCR extracts the text → AI produces a structured analysis (summary, type, urgency, key points, required actions, deadlines, Amharic + simple-Hebrew translations) → chat with the document for follow-up questions. > **Status:** MVP **architecture + scaffolding**. The full pipeline runs end-to-end > with a **Mock OCR** provider and an **AI provider** that uses Anthropic (Claude) > when an API key is set, or returns deterministic mock results otherwise. > Google/Azure OCR and the OpenAI provider are stubbed behind their interfaces. ## Tech stack | Layer | Tech | |-----------|----------------------------------------------------------------------| | Backend | ASP.NET Core 9 Web API · Clean Architecture · CQRS (MediatR) · Repository pattern · Dapper | | Database | SQL Server 2022 (via Docker) | | Auth | JWT access + refresh tokens, PBKDF2 password hashing | | AI | `IAiProvider` → `ClaudeAiProvider` (real) / `OpenAiProvider` (stub) | | OCR | `IOcrProvider` → `MockOcrProvider` / Google Vision / Azure (stubs) | | Frontend | Next.js 15 · TypeScript · Tailwind CSS · shadcn-style UI | | Languages | Hebrew (default, RTL) · Amharic · English | ## Project structure ``` Fana 2.0/ ├─ docker-compose.yml # sqlserver + api + frontend ├─ backend/ │ ├─ AmharicHelper.sln │ ├─ Dockerfile │ └─ src/ │ ├─ AmharicHelper.Domain/ # entities, enums, value objects │ ├─ AmharicHelper.Application/ # CQRS, DTOs, abstractions, prompt templates │ ├─ AmharicHelper.Infrastructure/ # Dapper repos, migrations, providers, JWT │ └─ AmharicHelper.Api/ # controllers, Program.cs, DI, Swagge …

Visit

github.com

Tasks

optical character recognitionnatural language generationcomputer vision

Languages

Amharic