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Rebuild High-Resolution JPG Mockup into Responsive HTML5 Website I have a single high-resolution JPG mockup of an astrology website and need it converted into a clean, modern, fully responsive HTML5 website. Requirements Pixel-perfect implementation matching the supplied design. Responsive layout for desktop, tablet, and mobile devices. Semantic, W3C-valid HTML5. Separate files for HTML, CSS, and JavaScript (no inline styles). Clean, well-commented code for easy future modifications. Cross-browser compatibility. Interactive Features Buttons with hover and active states. Placeholder links for all navigation and CTA buttons. Lightweight hero image slider with: Auto-play Previous/Next controls Smooth transitions Functional form (newsletter/contact/kundli form) connected to a dummy action for now. Smooth scrolling and subtle animations. Technology Preference Either: HTML5 + CSS3 + Vanilla JavaScript or Bootstrap 5 + JavaScript (No React or backend required.) Deliverables [login to view URL] Pixel-perfect recreation of the JPG. [login to view URL] Responsive styles using Flexbox/Grid and Bootstrap where needed. [login to view URL] Slider functionality and UI interactions. assets folder Images, icons, and optimized assets. README file Setup instructions. Library versions used. Additional Expectations Fast loading and optimized code. Mobile-first approach. Reusable components. SEO-friendly markup. Consistent spacing and typography. Hover effects and smooth transitions. Sticky navigation. High-quality UI matching the provided design exactly. Project Goal The project will be considered complete when I can open [login to view URL] locally, resize the browser window, and see the layout adapt smoothly across desktop, tablet, and mobile screens with all buttons, forms, and the hero slider functioning correctly. Skills Required HTML5 CSS3 Bootstrap 5 JavaScript PSD/JPG to HTML Responsive Web Design Frontend Development Web Development Budget: Open to discussion Project Type: Static Website Source: High-resolution JPG mockup provided upon project acceptance.
Project ID: 40511539
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