MyModus — Complete Development Plan 1. 📦 Architecture and environment 1.1. Define the architecture: Flutter (mobile + web) Node.js/Dart backend DB: PostgreSQL + Redis (cache) Web3 backend: Hardhat + Ethereum mainnet/testnet Data Storage: IPFS/Filecoin (Web4) 1.2. Create a GitHub repository with CI/CD (GitHub Actions). 1.3. Prepare a dev/prod environment in Docker. --- 2. 🔍 Marketplace parsing (Ozon, WB, Lamoda) 2.1. Integrate botasaurus (or a custom Python parser) for: Receiving MyModus product cards at each site Collecting prices, discounts, availability Collecting reviews and ratings 2.2. Create API endpoints: /products/{platform} — list of products /products/{id} — product details /products/updates — price updates 2.3. Configure auto-update (cron + cache in Redis). --- 3. M MyModus Store 3.1. Catalog screen with filtering and sorting. 3.2. The product card with the “Buy” button → switches to Ozon/WB/Lamoda. 3.3. Product price history. 3.4. Recommendations (an AI model based on sales and trends). --- 4. 🌐 Web3 + Web4 4.1. Ethereum integration: Connecting wallets (MetaMask, WalletConnect) Signing transactions by Deploying smart contracts for loyalty tokens 4.2. NFT functionality: NFT badges for customers NFT discount coupons 4.3. Web4 (IPFS/Filecoin): Decentralized storage of photos/videos of goods Storage of media from a social network --- 5. Social network (Instagram style) 5.1. User profiles (avatar, bio, subscriptions). 5.2. Feed of posts (photos/videos of products, stories). 5.3. Likes, comments, reposts. 5.4. Internal chat (Matrix API). 5.5. Hashtags (MyModusLook, OzonStyle). --- 6. 🎨 UI/UX 6.1. Instagram-style design, but with store blocks. 6.2. Dark/light theme. 6.3. Animations during transitions. 6.4. PWA support for the web version. --- 7. 🖥 Backend API 7.1. Authorization (JWT + Web3 sign-in). 7.2. CRUD for posts, products, and users. 7.3. API for marketplace parsing. 7.4. API for Web3/NFT operations. --- 8. 🚀 CI/CD 8.1. Auto-builds of Flutter applications (APK, IPA, Web). 8.2. Build of backend and smart contracts. 8.3. Deployment to Docker/Kubernetes. 8.4. Publication in GitHub Releases. --- 9. A AI integration 9.1. Product description generation (OpenAI API). 9.2. AI-recommendations based on purchase history. 9.3. AI-moderation of social network content. --- 10. 📅 Implementation plan Stage 1: Architecture + backend + marketplace parsing. Stage 2: Store + social network + basic UI. Stage 3: Web3 + NFT + Web4 storage. Stage 4: AI functions + recommendations. Stage 5: Optimization + release in the App Store/Google Play.