A modern, responsive portfolio website for a 25-year-old Computer Science Engineering student specializing in Deep Learning and AI.

• Hero Section: Professional introduction with clear call-to-actions
• About Me: Personal story and career aspirations
• Projects: Showcase of AI/ML projects with detailed descriptions
• Skills: Categorized technical and soft skills
• Experience & Education: Timeline format for academic journey
• Career Goals: Professional aspirations and future plans
• Contact: Interactive contact form and social links

• Frontend: React 18.2.0 with TypeScript
• Styling: Tailwind CSS
• Animations: Framer Motion
• Backend: Hono.js for API endpoints
• Storage: Val Town Blob for contact form submissions
• Deployment: Val Town

├── backend/
│   └── index.ts          # Main API server with Hono
├── frontend/
│   ├── components/       # React components
│   ├── index.html       # Main HTML template
│   ├── index.tsx        # Frontend entry point
│   └── style.css        # Custom styles
├── shared/
│   └── types.ts         # Shared TypeScript types
└── README.md

• ✅ Responsive design (mobile & desktop)
• ✅ Modern UI with Tailwind CSS
• ✅ Smooth animations with Framer Motion
• ✅ Contact form with backend integration
• ✅ Project showcase with tech stacks
• ✅ Skills categorization
• ✅ Professional timeline
• ✅ Dark mode toggle
• ✅ SEO optimized

The website is automatically deployed on Val Town. Simply visit the HTTP endpoint to view the portfolio.

Live Demo: The portfolio is now live and fully functional!

• GET / - Main portfolio website
• POST /api/contact - Submit contact form
• GET /api/contact/submissions - View all contact submissions (admin)
• GET /api/health - Health check endpoint

To customize the portfolio:

1. Update personal information in frontend/components/App.tsx
2. Modify projects data in the projects section
3. Update skills and experience information
4. Customize colors and styling in frontend/style.css

The contact form is fully functional and stores submissions in Val Town Blob storage for easy retrieval.