883 lines
25 KiB
TypeScript
883 lines
25 KiB
TypeScript
import { PrismaClient } from "@prisma/client";
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const prisma = new PrismaClient();
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async function main() {
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console.log("🌱 Seeding database...");
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// Clear existing data
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await prisma.userInteraction.deleteMany();
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await prisma.pageView.deleteMany();
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await prisma.project.deleteMany();
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// Create real projects
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const projects = [
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{
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title: "Clarity",
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description:
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"A Flutter mobile app supporting people with dyslexia by displaying text in OpenDyslexic font and simplifying content using AI.",
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content: `# Clarity - Dyslexia Support App
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Clarity is a mobile application built with Flutter to help people with dyslexia read and understand text more easily.
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## 🎯 Purpose
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The app was designed to make reading more accessible by using the OpenDyslexic font, which is specifically designed to make letters more distinguishable and reduce reading errors.
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## 🚀 Features
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- **OpenDyslexic Font**: All text is displayed in the OpenDyslexic typeface
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- **AI Text Simplification**: Complex texts are simplified using AI integration
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- **Clean Interface**: Simple, distraction-free reading experience
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- **Mobile-First**: Optimized for smartphones and tablets
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- **Accessibility**: Built with accessibility in mind from the ground up
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## 🛠️ Technologies Used
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- Flutter
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- Dart
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- AI Integration for text simplification
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- OpenDyslexic Font
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## 📱 Platform Support
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- iOS
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- Android
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## 💡 What I Learned
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Building Clarity taught me a lot about accessibility, mobile UI/UX design, and how to integrate AI services into mobile applications. It was rewarding to create something that could genuinely help people in their daily lives.
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## 🔮 Future Plans
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- Add more font options
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- Implement text-to-speech
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- Support for more languages
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- PDF and document scanning`,
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tags: ["Flutter", "Mobile", "AI", "Accessibility", "Dart"],
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featured: true,
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category: "Mobile Development",
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date: "2024",
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published: true,
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difficulty: "INTERMEDIATE",
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timeToComplete: "4-6 weeks",
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technologies: ["Flutter", "Dart", "AI Integration", "OpenDyslexic Font"],
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challenges: [
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"Implementing AI text simplification",
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"Font rendering optimization",
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"Mobile accessibility standards",
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],
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lessonsLearned: [
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"Mobile development with Flutter",
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"Accessibility best practices",
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"AI API integration",
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],
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futureImprovements: [
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"Text-to-speech",
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"Multi-language support",
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"Document scanning",
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],
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demoVideo: "",
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screenshots: [],
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colorScheme: "Clean and minimal with high contrast",
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accessibility: true,
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performance: {
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lighthouse: 0,
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bundleSize: "0KB",
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loadTime: "0s",
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},
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analytics: {
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views: 850,
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likes: 67,
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shares: 34,
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},
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},
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{
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title: "Portfolio Website - Modern Developer Showcase",
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description:
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"A fully-featured, self-hosted portfolio website built with Next.js 14, featuring AI-powered image generation, real-time activity tracking, email management, and a complete admin dashboard. Deployed on Docker Swarm with zero-downtime deployments.",
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content: `# Portfolio Website - Modern Developer Showcase
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This is the website you're currently viewing! A comprehensive, production-ready portfolio platform that showcases not just my projects, but also demonstrates modern web development practices, DevOps expertise, and innovative features.
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## 🎯 Project Overview
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This portfolio is more than just a showcase – it's a full-stack application demonstrating:
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- Modern React/Next.js development patterns
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- AI integration (image generation, email automation)
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- Real-time features and activity tracking
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- Complete admin dashboard
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- Self-hosted infrastructure
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- Production-grade DevOps practices
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## 🏗️ Architecture & Infrastructure
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### Frontend Stack
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- **Next.js 14** with App Router for optimal performance
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- **TypeScript** for type safety
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- **Tailwind CSS** for modern, responsive design
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- **Framer Motion** for smooth animations
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- **React Server Components** for optimal rendering
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- **Next.js Image** optimization for fast loading
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### Backend & Database
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- **PostgreSQL** with Prisma ORM
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- **Redis** for caching and performance
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- **RESTful API** design with proper error handling
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- **Rate limiting** and security middleware
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- **Activity logging** and analytics
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### DevOps & Deployment
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- **Docker Swarm** cluster for orchestration
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- **Traefik** reverse proxy with automatic SSL
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- **CI/CD pipelines** with custom Gitea runners
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- **Zero-downtime deployments** with rolling updates
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- **Health checks** and monitoring
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- **Automated backups**
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## 🚀 Key Features
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### 1. AI-Powered Image Generation
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- Automatic project cover image generation
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- Integration with n8n workflows and pollinations.ai
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- Category-specific prompt templates
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- Admin UI for manual generation/regeneration
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- Support for multiple AI models (Flux, Stable Diffusion)
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### 2. Real-Time Activity Tracking
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- Live status updates (coding, gaming, music)
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- Activity feed with timestamps
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- Database-backed activity logging
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- RESTful API for status updates
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### 3. Email Management System
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- Automated email responder
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- Email template system
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- Integration with n8n for automation
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- Admin dashboard for email management
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### 4. Project Management
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- Full CRUD operations for projects
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- Rich markdown content editor
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- Tag and category system
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- Featured projects showcase
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- Analytics tracking (views, likes, shares)
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- Import/export functionality
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### 5. Admin Dashboard
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- Modern, responsive admin interface
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- Project management UI
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- AI image generator component
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- Analytics dashboard
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- Performance monitoring
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- Email management tools
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### 6. Performance Optimizations
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- Server-side rendering (SSR)
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- Static site generation (SSG) where possible
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- Image optimization with Next.js Image
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- Redis caching layer
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- Database query optimization
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- Code splitting and lazy loading
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## 🛠️ Technical Implementation
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### Code Quality
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- **TypeScript** throughout for type safety
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- **ESLint** for code quality
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- **Prisma** for type-safe database access
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- **Error boundaries** for graceful error handling
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- **Comprehensive error logging**
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### Security Features
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- Rate limiting on API endpoints
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- CSRF protection
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- Secure authentication
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- Input validation and sanitization
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- Security headers via middleware
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- Environment variable management
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### Developer Experience
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- Hot module replacement (HMR)
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- Comprehensive documentation
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- Type-safe API routes
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- Database migration system
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- Seed scripts for development
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- Pre-push checklists and validation
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## 📊 Performance Metrics
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- **Lighthouse Score**: 90+ across all categories
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- **First Contentful Paint**: < 1.5s
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- **Time to Interactive**: < 3s
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- **Bundle Size**: Optimized with code splitting
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- **Database Queries**: Optimized with indexes and caching
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## 🎨 Design Philosophy
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- **Minimalist**: Clean, uncluttered interface
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- **Modern**: Contemporary design patterns
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- **Accessible**: WCAG 2.1 AA compliant
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- **Responsive**: Mobile-first approach
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- **Fast**: Performance is a feature
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## 🔧 Development Workflow
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1. **Local Development**: Docker Compose setup
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2. **Version Control**: Git with Gitea
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3. **CI/CD**: Automated testing and deployment
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4. **Staging**: Test environment before production
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5. **Production**: Zero-downtime deployments
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## 📈 Analytics & Monitoring
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- Page view tracking
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- User interaction logging
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- Performance monitoring
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- Error tracking
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- Activity feed analytics
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## 💡 What Makes This Special
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1. **Self-Hosted**: Complete control over infrastructure
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2. **AI Integration**: Cutting-edge AI features
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3. **Production-Ready**: Real-world deployment practices
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4. **Comprehensive**: Full-stack application
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5. **Documented**: Extensive documentation
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6. **Maintainable**: Clean, well-structured code
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## 🔮 Future Enhancements
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- [ ] Blog system integration
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- [ ] Comment system for projects
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- [ ] Advanced analytics dashboard
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- [ ] Multi-language support (i18n)
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- [ ] Dark mode toggle
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- [ ] Progressive Web App (PWA) features
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- [ ] GraphQL API option
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- [ ] Real-time collaboration features
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## 🎓 Technologies Learned
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- Next.js 14 App Router
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- Server Components vs Client Components
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- Prisma ORM best practices
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- Docker Swarm orchestration
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- CI/CD pipeline design
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- AI API integration
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- Real-time features
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- Performance optimization
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- Security best practices
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## 📝 Codebase Structure
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\`\`\`
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portfolio/
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├── app/ # Next.js App Router
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│ ├── api/ # API routes
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│ ├── components/ # React components
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│ └── [routes]/ # Page routes
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├── prisma/ # Database schema & migrations
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├── lib/ # Shared utilities
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├── components/ # Reusable components
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├── docs/ # Documentation
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└── scripts/ # Deployment scripts
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\`\`\`
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## 🚀 Deployment
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Deployed on a Docker Swarm cluster with:
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- Automatic SSL via Traefik
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- Health checks and auto-restart
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- Rolling updates (zero downtime)
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- Redis caching layer
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- PostgreSQL database
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- Automated backups
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## 📚 Documentation
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Comprehensive documentation includes:
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- Setup guides
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- API documentation
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- Deployment procedures
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- AI image generation setup
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- Database migration guides
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- Security best practices
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## 🏆 Achievements
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- ✅ Production deployment
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- ✅ Zero-downtime deployments
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- ✅ AI integration working
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- ✅ Real-time features
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- ✅ Complete admin dashboard
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- ✅ Comprehensive documentation
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- ✅ Performance optimized
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- ✅ Security hardened
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This portfolio website is a living project that evolves with new technologies and best practices. It serves as both a showcase and a demonstration of full-stack development capabilities.`,
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tags: [
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"Docker",
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"Swarm",
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"DevOps",
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"CI/CD",
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"Next.js",
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"Traefik",
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"Self-Hosting",
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],
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featured: true,
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category: "DevOps",
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date: "2024",
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published: true,
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difficulty: "ADVANCED",
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timeToComplete: "Ongoing project",
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technologies: [
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"Docker Swarm",
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"Traefik",
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"Next.js",
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"Redis",
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"CI/CD",
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"Nginx",
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"CrowdSec",
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"Suricata",
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],
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challenges: [
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"Zero-downtime deployments",
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"Network configuration",
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"Security hardening",
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"Performance optimization",
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],
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lessonsLearned: [
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"Container orchestration",
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"DevOps practices",
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"Infrastructure as Code",
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"Security best practices",
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],
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futureImprovements: [
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"Kubernetes migration",
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"Multi-region setup",
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"Advanced monitoring",
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"Automated backups",
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],
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demoVideo: "",
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screenshots: [],
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colorScheme: "Modern and professional",
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accessibility: true,
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performance: {
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lighthouse: 0,
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bundleSize: "0KB",
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loadTime: "0s",
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},
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analytics: {
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views: 1420,
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likes: 112,
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shares: 45,
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},
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},
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{
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title: "E-Commerce Platform API",
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description:
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"A scalable RESTful API for an e-commerce platform built with Node.js, Express, and PostgreSQL. Features include user authentication, product management, shopping cart, and order processing.",
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content: `# E-Commerce Platform API
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A production-ready RESTful API for an e-commerce platform, demonstrating best practices in API design, security, and scalability.
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## 🎯 Purpose
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Built to handle the backend for a modern e-commerce platform with features like user management, product catalog, shopping cart, and order processing.
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## 🚀 Features
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- **User Authentication**: JWT-based auth with refresh tokens
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- **Product Management**: CRUD operations with categories and filters
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- **Shopping Cart**: Session-based cart management
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- **Order Processing**: Complete order lifecycle
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- **Payment Integration**: Stripe integration ready
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- **Search & Filtering**: Advanced product search
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- **Rate Limiting**: API protection
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- **Documentation**: Swagger/OpenAPI docs
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## 🛠️ Technologies Used
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- Node.js & Express
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- PostgreSQL
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- Prisma ORM
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- JWT Authentication
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- Redis (caching)
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- Stripe API
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- Swagger/OpenAPI
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## 💡 What I Learned
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- RESTful API design principles
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- Authentication and authorization
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- Database optimization
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- API security best practices
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- Payment gateway integration
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- Scalability patterns
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## 🔮 Future Plans
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- GraphQL API option
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- Microservices architecture
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- Real-time inventory updates
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- Advanced analytics`,
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tags: ["Node.js", "Express", "PostgreSQL", "API", "E-Commerce", "REST"],
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featured: true,
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category: "Backend Development",
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date: "2024",
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published: true,
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difficulty: "ADVANCED",
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timeToComplete: "6-8 weeks",
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technologies: ["Node.js", "Express", "PostgreSQL", "Prisma", "JWT", "Redis", "Stripe"],
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challenges: [
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"Scalable architecture design",
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"Payment integration",
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"Inventory management",
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"API security",
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],
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lessonsLearned: [
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"RESTful API design",
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"Authentication patterns",
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"Database optimization",
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"Payment processing",
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],
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futureImprovements: [
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"GraphQL support",
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"Microservices migration",
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"Real-time features",
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"Advanced analytics",
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],
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demoVideo: "",
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screenshots: [],
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colorScheme: "Professional blue and white",
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accessibility: true,
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performance: {
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lighthouse: 0,
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bundleSize: "0KB",
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loadTime: "0s",
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},
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analytics: {
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views: 920,
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likes: 78,
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shares: 32,
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},
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},
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{
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title: "Real-Time Chat Application",
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description:
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"A real-time chat application built with React, Node.js, and Socket.io. Features include multiple rooms, user presence, file sharing, and message history.",
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content: `# Real-Time Chat Application
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A modern real-time chat application with WebSocket support, multiple chat rooms, and advanced features.
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## 🎯 Purpose
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Built to demonstrate real-time communication patterns and WebSocket implementation in a modern web application.
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## 🚀 Features
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- **Real-Time Messaging**: WebSocket-based instant messaging
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- **Multiple Rooms**: Create and join chat rooms
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- **User Presence**: See who's online
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- **File Sharing**: Upload and share files
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- **Message History**: Persistent message storage
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- **Emoji Support**: Rich emoji reactions
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- **Typing Indicators**: See when users are typing
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- **Notifications**: Browser notifications
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## 🛠️ Technologies Used
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- React (Frontend)
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- Node.js & Express (Backend)
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- Socket.io (WebSockets)
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- MongoDB (Message storage)
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- AWS S3 (File storage)
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- Redis (Presence tracking)
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## 💡 What I Learned
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- WebSocket programming
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- Real-time data synchronization
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- Presence systems
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- File upload handling
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- Scalable chat architecture
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- Notification systems
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## 🔮 Future Plans
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- Voice and video calls
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- Screen sharing
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- End-to-end encryption
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- Mobile app version`,
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tags: ["React", "Node.js", "Socket.io", "WebSocket", "Real-Time", "Chat"],
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featured: false,
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category: "Full-Stack Development",
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date: "2023",
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published: true,
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difficulty: "INTERMEDIATE",
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timeToComplete: "4-5 weeks",
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technologies: ["React", "Node.js", "Socket.io", "MongoDB", "Redis", "AWS S3"],
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challenges: [
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"WebSocket connection management",
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"Scalable presence system",
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"File upload optimization",
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"Message synchronization",
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],
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lessonsLearned: [
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"Real-time communication",
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"WebSocket patterns",
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"Presence systems",
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"File handling",
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],
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futureImprovements: [
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"Video calls",
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"End-to-end encryption",
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"Mobile app",
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"Advanced moderation",
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],
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demoVideo: "",
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screenshots: [],
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colorScheme: "Modern chat interface",
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accessibility: true,
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performance: {
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lighthouse: 0,
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bundleSize: "0KB",
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loadTime: "0s",
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},
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analytics: {
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views: 680,
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likes: 54,
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shares: 28,
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},
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},
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{
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title: "Task Management Dashboard",
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description:
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"A Kanban-style task management dashboard with drag-and-drop functionality, team collaboration, and project tracking. Built with React and TypeScript.",
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content: `# Task Management Dashboard
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A comprehensive project management tool inspired by Trello and Jira, with Kanban boards, team collaboration, and advanced project tracking.
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## 🎯 Purpose
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Built to help teams organize tasks, track progress, and collaborate effectively on projects.
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## 🚀 Features
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- **Kanban Boards**: Drag-and-drop task management
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- **Team Collaboration**: Multiple users per project
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- **Project Tracking**: Progress visualization
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- **Due Dates & Reminders**: Task scheduling
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- **Labels & Filters**: Organize tasks
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- **Activity Log**: Track all changes
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- **Search**: Find tasks quickly
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- **Dark Mode**: Eye-friendly interface
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## 🛠️ Technologies Used
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- React & TypeScript
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- Redux Toolkit (State management)
|
||
- React DnD (Drag and drop)
|
||
- Chart.js (Visualizations)
|
||
- PostgreSQL (Data storage)
|
||
- Express (Backend API)
|
||
|
||
## 💡 What I Learned
|
||
|
||
- Complex state management
|
||
- Drag-and-drop implementation
|
||
- Real-time collaboration patterns
|
||
- Data visualization
|
||
- Team-based features
|
||
- UI/UX for productivity apps
|
||
|
||
## 🔮 Future Plans
|
||
|
||
- Time tracking
|
||
- Gantt charts
|
||
- Calendar view
|
||
- Mobile app
|
||
- Integrations (Slack, GitHub)`,
|
||
tags: ["React", "TypeScript", "Kanban", "Project Management", "Redux"],
|
||
featured: true,
|
||
category: "Web Application",
|
||
date: "2023",
|
||
published: true,
|
||
difficulty: "ADVANCED",
|
||
timeToComplete: "8-10 weeks",
|
||
technologies: ["React", "TypeScript", "Redux", "React DnD", "Chart.js", "PostgreSQL"],
|
||
challenges: [
|
||
"Complex state management",
|
||
"Drag-and-drop performance",
|
||
"Real-time sync",
|
||
"Permission system",
|
||
],
|
||
lessonsLearned: [
|
||
"State management patterns",
|
||
"Drag-and-drop libraries",
|
||
"Collaboration features",
|
||
"Data visualization",
|
||
],
|
||
futureImprovements: [
|
||
"Time tracking",
|
||
"Gantt charts",
|
||
"Mobile app",
|
||
"Third-party integrations",
|
||
],
|
||
demoVideo: "",
|
||
screenshots: [],
|
||
colorScheme: "Productive blue and green",
|
||
accessibility: true,
|
||
performance: {
|
||
lighthouse: 0,
|
||
bundleSize: "0KB",
|
||
loadTime: "0s",
|
||
},
|
||
analytics: {
|
||
views: 1100,
|
||
likes: 89,
|
||
shares: 41,
|
||
},
|
||
},
|
||
{
|
||
title: "Weather Forecast App",
|
||
description:
|
||
"A beautiful weather forecast application with location-based forecasts, weather maps, and detailed meteorological data. Built with React and OpenWeatherMap API.",
|
||
content: `# Weather Forecast App
|
||
|
||
A modern, responsive weather application providing detailed forecasts, weather maps, and meteorological insights.
|
||
|
||
## 🎯 Purpose
|
||
|
||
Built to demonstrate API integration, geolocation, and data visualization in a practical, user-friendly application.
|
||
|
||
## 🚀 Features
|
||
|
||
- **Location-Based Forecasts**: Automatic location detection
|
||
- **7-Day Forecast**: Extended weather predictions
|
||
- **Weather Maps**: Interactive weather visualization
|
||
- **Hourly Forecasts**: Detailed hourly predictions
|
||
- **Weather Alerts**: Severe weather notifications
|
||
- **Multiple Locations**: Save favorite locations
|
||
- **Beautiful UI**: Modern, intuitive design
|
||
- **Offline Support**: Cached data when offline
|
||
|
||
## 🛠️ Technologies Used
|
||
|
||
- React
|
||
- OpenWeatherMap API
|
||
- Leaflet Maps
|
||
- Chart.js
|
||
- LocalStorage
|
||
- PWA capabilities
|
||
|
||
## 💡 What I Learned
|
||
|
||
- Third-party API integration
|
||
- Geolocation APIs
|
||
- Map integration
|
||
- Data visualization
|
||
- PWA development
|
||
- Caching strategies
|
||
|
||
## 🔮 Future Plans
|
||
|
||
- Weather widgets
|
||
- Notifications
|
||
- Historical data
|
||
- Weather comparisons`,
|
||
tags: ["React", "Weather", "API", "Maps", "PWA"],
|
||
featured: false,
|
||
category: "Web Application",
|
||
date: "2023",
|
||
published: true,
|
||
difficulty: "BEGINNER",
|
||
timeToComplete: "2-3 weeks",
|
||
technologies: ["React", "OpenWeatherMap API", "Leaflet", "Chart.js"],
|
||
challenges: [
|
||
"API rate limiting",
|
||
"Map performance",
|
||
"Offline functionality",
|
||
"Location accuracy",
|
||
],
|
||
lessonsLearned: [
|
||
"API integration",
|
||
"Geolocation",
|
||
"Map libraries",
|
||
"PWA features",
|
||
],
|
||
futureImprovements: [
|
||
"Weather widgets",
|
||
"Push notifications",
|
||
"Historical data",
|
||
"Social sharing",
|
||
],
|
||
demoVideo: "",
|
||
screenshots: [],
|
||
colorScheme: "Sky blue and white",
|
||
accessibility: true,
|
||
performance: {
|
||
lighthouse: 0,
|
||
bundleSize: "0KB",
|
||
loadTime: "0s",
|
||
},
|
||
analytics: {
|
||
views: 450,
|
||
likes: 38,
|
||
shares: 15,
|
||
},
|
||
},
|
||
{
|
||
title: "Machine Learning Model API",
|
||
description:
|
||
"A RESTful API for serving machine learning models, including image classification, text analysis, and prediction endpoints. Built with Python, FastAPI, and TensorFlow.",
|
||
content: `# Machine Learning Model API
|
||
|
||
A production-ready API for serving machine learning models with endpoints for image classification, sentiment analysis, and predictions.
|
||
|
||
## 🎯 Purpose
|
||
|
||
Built to demonstrate ML model deployment, API design for ML services, and scalable inference serving.
|
||
|
||
## 🚀 Features
|
||
|
||
- **Image Classification**: Upload images for classification
|
||
- **Sentiment Analysis**: Analyze text sentiment
|
||
- **Prediction Endpoints**: Various ML model predictions
|
||
- **Batch Processing**: Process multiple inputs
|
||
- **Model Versioning**: Manage model versions
|
||
- **API Documentation**: Auto-generated docs
|
||
- **Rate Limiting**: Protect resources
|
||
- **Monitoring**: Track usage and performance
|
||
|
||
## 🛠️ Technologies Used
|
||
|
||
- Python & FastAPI
|
||
- TensorFlow / PyTorch
|
||
- Docker
|
||
- Redis (Caching)
|
||
- PostgreSQL (Metadata)
|
||
- Prometheus (Monitoring)
|
||
|
||
## 💡 What I Learned
|
||
|
||
- ML model deployment
|
||
- API design for ML
|
||
- Model versioning
|
||
- Inference optimization
|
||
- Monitoring ML services
|
||
- Containerization of ML apps
|
||
|
||
## 🔮 Future Plans
|
||
|
||
- Auto-scaling
|
||
- Model A/B testing
|
||
- Advanced monitoring
|
||
- More model types`,
|
||
tags: ["Python", "FastAPI", "Machine Learning", "TensorFlow", "AI"],
|
||
featured: true,
|
||
category: "AI/ML",
|
||
date: "2024",
|
||
published: true,
|
||
difficulty: "EXPERT",
|
||
timeToComplete: "10-12 weeks",
|
||
technologies: ["Python", "FastAPI", "TensorFlow", "Docker", "Redis"],
|
||
challenges: [
|
||
"Model optimization",
|
||
"Inference latency",
|
||
"Scalability",
|
||
"Model versioning",
|
||
],
|
||
lessonsLearned: [
|
||
"ML deployment",
|
||
"API design for ML",
|
||
"Model optimization",
|
||
"Production ML practices",
|
||
],
|
||
futureImprovements: [
|
||
"Auto-scaling",
|
||
"A/B testing",
|
||
"Advanced monitoring",
|
||
"More models",
|
||
],
|
||
demoVideo: "",
|
||
screenshots: [],
|
||
colorScheme: "Tech-focused dark theme",
|
||
accessibility: true,
|
||
performance: {
|
||
lighthouse: 0,
|
||
bundleSize: "0KB",
|
||
loadTime: "0s",
|
||
},
|
||
analytics: {
|
||
views: 750,
|
||
likes: 62,
|
||
shares: 29,
|
||
},
|
||
},
|
||
];
|
||
|
||
for (const project of projects) {
|
||
await prisma.project.create({
|
||
data: {
|
||
...project,
|
||
difficulty: project.difficulty as
|
||
| "BEGINNER"
|
||
| "INTERMEDIATE"
|
||
| "ADVANCED"
|
||
| "EXPERT",
|
||
},
|
||
});
|
||
}
|
||
|
||
console.log(`✅ Created ${projects.length} projects`);
|
||
|
||
// Create some sample analytics data
|
||
const createdProjects = await prisma.project.findMany({
|
||
orderBy: { id: 'asc' }
|
||
});
|
||
|
||
for (const project of createdProjects) {
|
||
// Create page views
|
||
for (let j = 0; j < Math.floor(Math.random() * 100) + 50; j++) {
|
||
await prisma.pageView.create({
|
||
data: {
|
||
projectId: project.id,
|
||
page: `/projects/${project.id}`,
|
||
ip: `192.168.1.${Math.floor(Math.random() * 255)}`,
|
||
userAgent:
|
||
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
|
||
referrer: "https://google.com",
|
||
},
|
||
});
|
||
}
|
||
|
||
// Create user interactions
|
||
for (let j = 0; j < Math.floor(Math.random() * 20) + 10; j++) {
|
||
await prisma.userInteraction.create({
|
||
data: {
|
||
projectId: project.id,
|
||
type: Math.random() > 0.5 ? "LIKE" : "SHARE",
|
||
ip: `192.168.1.${Math.floor(Math.random() * 255)}`,
|
||
userAgent:
|
||
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
|
||
},
|
||
});
|
||
}
|
||
}
|
||
|
||
console.log("✅ Created sample analytics data");
|
||
|
||
console.log("🎉 Database seeding completed!");
|
||
}
|
||
|
||
main()
|
||
.catch((e) => {
|
||
console.error("❌ Error seeding database:", e);
|
||
process.exit(1);
|
||
})
|
||
.finally(async () => {
|
||
await prisma.$disconnect();
|
||
});
|