shiny-idea

byItz_me_luxy

Build a full-stack system architecture for a mobile-first AI video editing application called NEXORA. NEXORA is an AI-assisted distributed video editing system where: - Mobile app handles lightweight editing (timeline, clips, preview UI) - Backend handles video rendering, exports, AI processing - AI system converts user prompts into editing commands --- CORE REQUIREMENTS: 1. FRONTEND (Mobile App) - React Native (Expo) + TypeScript - Expo Router for navigation - Zustand for state management Screens: - Splash Screen - Home Dashboard (recent projects, create project) - Projects List - Studio Editor (main screen) - Settings Studio layout: - Left: Media Library - Center: Video Preview - Bottom: Timeline Editor - Right: AI Assistant Panel Mobile app should NOT perform heavy video rendering. --- 2. STATE MANAGEMENT (ZUSTAND) Create 7 stores: - projectStore (projects, metadata) - timelineStore (clips, tracks, timeline state) - playbackStore (playhead, scrubbing, preview state) - aiStore (AI chat + responses) - analyticsStore (usage + insights) - styleMemoryStore (user editing preferences) - settingsStore (app config) --- 3. BACKEND (NODE.JS + TYPESCRIPT) Create REST API architecture. Responsibilities: - Project CRUD APIs - Media upload handling - AI processing endpoints - Video rendering pipeline - Export system Include services: - AI service (prompt → structured actions) - Render service (FFmpeg-based video processing) - Project service (save/load/sync) --- 4. AI SYSTEM (CORE FEATURE) Use AI that converts natural language into structured editing commands. Example output: { "agent": "CreativeDirector", "actions": [ { "type": "TRIM_CLIP", "clipId": "c1" }, { "type": "APPLY_EFFECT", "effect": "cinematic" }, { "type": "REMOVE_SILENCE" } ] } AI Agents: - Creative Director (main editor brain) - Caption Agent - Thumbnail Agent - Audio Agent - Color Grading Agent - Story Structuring Agent Use Vercel AI SDK style architecture. --- 5. VIDEO PROCESSING PIPELINE Backend uses FFmpeg. Flow: Mobile sends timeline JSON → Backend processes clips → FFmpeg renders final video → Returns export URL Include queue system for rendering jobs. --- 6. DATA STRATEGY - Local cache on mobile using AsyncStorage - Cloud sync via REST API - Last-write-wins conflict resolution --- 7. PROJECT STRUCTURE OUTPUT REQUIRED Generate full folder structure for: Frontend: - Expo app structure - screens, components, stores, services Backend: - routes - controllers - services - workers (FFmpeg, AI, rendering) --- IMPORTANT RULES: - Do NOT overfocus on UI styling - Focus on architecture + scalability - Keep mobile lightweight - Backend handles all heavy processing - AI must return structured JSON commands, not text --- GOAL: Produce a scalable production-ready architecture for NEXORA that can support: - AI video editing - timeline-based editing - cloud rendering - mobile-first experience - future desktop expansion I have uploaded the image how should the app look