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The project showcases my skills, projects, and experience in web development.\n\n## Tech Stack\n\n- **Frontend**: Next.js 15, React 19, TypeScript, Tailwind CSS\n- **3D Graphics**: Three.js, React Three Fiber\n- **UI/UX**: Modern design with smooth animations and responsive layout\n- **Performance**: Optimized with next/font and sharp for image processing\n- **AI Integration**: OpenAI GPT-3.5 Turbo for chatbot\n- **Caching**: Vercel KV for rate limiting and response caching\n- **Analytics**: Custom visitor tracking system\n\n## Features\n\n- 🎨 Modern and minimalist design\n- 🌟 Interactive 3D background\n- 💼 Project showcase\n- 🛠️ Tech stack display\n- 💬 AI-powered chatbot with natural conversation (ChatGPT-like experience)\n  - 🌍 Multi-language support (Turkish/English auto-detection)\n  - 🧠 Context-aware conversations\n  - 📝 Fallback responses for offline/error scenarios\n  - 🎯 Topic filtering (only answers about Furkan's professional background)\n  - 💡 Smart suggestions and helpful responses\n- 📱 Fully responsive layout\n- 📊 Real-time visitor analytics\n- 🔒 Cookie consent management\n- ⚡ Performance optimized\n- 🔄 Rate limiting and caching\n\n## Getting Started\n\nFirst, install the dependencies:\n\n```bash\nnpm install\n# or\nyarn install\n# or\npnpm install\n```\n\nThen, create a `.env` file with the following variables:\n\n```env\n# OpenAI Configuration\nOPENAI_API_KEY=your_openai_api_key_here\n\n# Vercel KV Configuration\nKV_REST_API_URL=https://your-kv-rest-api-url.vercel.app\nKV_REST_API_TOKEN=your_kv_rest_api_token_here\nKV_REST_API_READ_ONLY_TOKEN=your_kv_rest_api_read_only_token_here\n\n# GitHub Configuration (Optional but recommended)\n# Get your token from: https://github.com/settings/tokens\n# Create a token with 'public_repo' scope\n# Without token: 60 requests/hour (unauthenticated)\n# With token: 5000 requests/hour (authenticated)\nGITHUB_TOKEN=your_github_personal_access_token_here\n```\n\nRun the development server:\n\n```bash\nnpm run dev\n# or\nyarn dev\n# or\npnpm dev\n```\n\nOpen [http://localhost:3000](http://localhost:3000) with your browser to see the result.\n\n## Project Structure\n\n```\ncotneo/\n├── src/\n│   ├── app/                # Next.js app router\n│   │   ├── api/           # API routes\n│   │   │   ├── chat/      # Chatbot API\n│   │   │   └── visitors/  # Visitor tracking API\n│   │   └── page.tsx       # Main page\n│   ├── components/        # React components\n│   │   ├── ChatBot/      # AI Chatbot component\n│   │   ├── VisitorCounter/ # Visitor tracking\n│   │   └── ...           # Other components\n│   └── styles/           # Global styles\n├── public/               # Static assets\n└── package.json         # Dependencies and scripts\n```\n\n## API Endpoints\n\n### Chat API\n- **Endpoint**: `/api/chat`\n- **Method**: POST\n- **Body**: `{ message: string, conversationId?: string, previousMessages?: Array }`\n- **Features**: \n  - Rate limiting (100 requests/hour per IP)\n  - Response caching with Vercel KV\n  - Context-aware conversations (maintains conversation history)\n  - Automatic language detection (Turkish/English)\n  - Fallback responses for offline/error scenarios\n  - Natural conversation flow (ChatGPT-like experience)\n  - Topic filtering (only answers about professional background)\n  - Smart keyword matching for common questions\n\n### Visitor API\n- **Endpoint**: `/api/visitors`\n- **Method**: GET\n- **Features**:\n  - Real-time visitor tracking\n  - Cookie-based consent management\n  - Analytics data collection\n\n## Deployment\n\nThe site is deployed on Vercel. Every push to the main branch triggers an automatic deployment.\n\n### Environment Setup\n1. Add required environment variables in Vercel dashboard:\n   - `OPENAI_API_KEY`: Your OpenAI API key for chatbot functionality\n   - `KV_REST_API_URL`: Vercel KV database URL\n   - `KV_REST_API_TOKEN`: Vercel KV API token\n   - `KV_REST_API_READ_ONLY_TOKEN`: Vercel KV read-only token (optional)\n2. Configure KV database in Vercel dashboard\n3. Set up OpenAI API key (required for AI chatbot)\n\n### Note\n- The chatbot works with fallback responses even if OpenAI API key is not set\n- Rate limiting and caching are handled automatically\n- All features work seamlessly in production\n\n## Performance Optimization\n\n- Image optimization with next/image\n- Font optimization with next/font\n- Code splitting and lazy loading\n- Caching strategies\n- Rate limiting implementation\n\n## Recent Updates\n\n- ✅ Enhanced AI chatbot with multi-language support (Turkish/English)\n- ✅ Improved language detection and natural conversation flow\n- ✅ Added contact information responses\n- ✅ Better fallback responses for common questions\n- ✅ ChatGPT-like conversational experience\n- ✅ Fixed mobile menu overlap issues\n- ✅ Improved responsive design\n\n## Contact\n\n- Website: [cotneo.com](https://cotneo.com)\n- GitHub: [@CotNeo](https://github.com/CotNeo)\n- LinkedIn: [furkanaliakar](https://linkedin.com/in/furkanaliakar)\n\n## License\n\nThis project is licensed under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcotneo%2Fcotneo.com","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcotneo%2Fcotneo.com","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcotneo%2Fcotneo.com/lists"}