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SAD (System Architecture Document)

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1. Tech Stack Overview

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Frontend: Electron
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Backend: Python
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Bridge: FastAPI or Flask
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AI: OpenAI
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Image sourcing: Bing Image Search / Pexels API
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Database: PostgreSQL / Firebase
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Deployment: Docker + AWS / Vercel

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2. System Components and Interactions

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User interface (input, review, settings)
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AI processing module (summary, caption, hashtag generation)
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Image engine (search, selection, thumbnail composition)
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Instagram posting module (API integration)
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Database (users, preferences, posts, analytics)

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3. Data Flow Diagram (simplified)

User Input → Backend Parser → AI Engine → Media Generator → Post Composer → Instagram API
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Friday AI - Data Flow.png
Data Flow Diagram
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4. API Endpoints (high-level)

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/analyze-url → fetch + summarize article
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/generate-media → create thumbnail and caption
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/post-instagram → publish post
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/analytics → return performance data

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5. Deployment Plan

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Development environment in Docker
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Continuous integration (GitHub Actions)
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Cloud hosting (AWS or similar)
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Scalable containerized backend

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1. Tech Stack Overview
2. System Components and Interactions
3. Data Flow Diagram (simplified)
4. API Endpoints (high-level)
5. Deployment Plan
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