Frontend Development for DiChat using Nuxt.js by Marshal Gasong

Frontend Development for DiChat using Nuxt.js

Marshal Gasong

Frontend Engineer

Web Developer

Nuxt.js

Tailwind CSS

Vuetify

As a Frontend Developer specializing in Nuxt.js, I developed and optimized the frontend of DiChat, a modern, real-time chat application. The goal was to create a seamless, fast, and scalable user interface using Nuxt 3, Tailwind CSS, and Vuetify, ensuring a smooth and engaging chat experience.

1. Tech Stack Used

✔ Nuxt 3 – For a server-rendered, high-performance frontend ✔ Tailwind CSS / Vuetify – For a sleek, responsive, and modern UI ✔ Pinia – For efficient state management ✔ WebSocket / Firebase Realtime Database – For real-time messaging ✔ Vercel / Cloudflare Pages – For fast, reliable deployment

2. Features & Development Process

⚡ Lightning-Fast & Intuitive UI

✅ Custom Chat UI Design – Clean, modern chat interface with smooth animations ✅ Dark Mode Support – Theme switching for better user experience ✅ Fully Responsive Design – Optimized for mobile, tablet, and desktop

💬 Real-Time Chat Functionalities

✅ Instant messaging with WebSocket integration ✅ Typing indicators & read receipts for enhanced interactivity ✅ Message persistence via Firebase Realtime Database / Supabase

🔒 Security & Performance

✅ Authentication system with JWT/OAuth2 (Google, Facebook login) ✅ Optimized performance with lazy loading & image compression ✅ Debounced input & efficient API calls to reduce server load

🌍 SEO & PWA Optimization

✅ SEO-friendly meta tags with Open Graph for better search visibility ✅ PWA Support – Allowing users to install DiChat as a web app ✅ Server-side rendering (SSR) & static generation (SSG) for fast page loads

3. Deployment & Tech Optimization

🚀 Deployed on Vercel / Netlify for fast, scalable performance ⚡ Integrated Google Analytics & Tag Manager for tracking user engagement 🛠️ Error logging & monitoring using Sentry

4. Key Results & Metrics

✅ Improved chat UI responsiveness by 60% with Tailwind CSS optimizations ✅ Reduced initial page load time by 40% through image lazy-loading & caching ✅ Achieved 99% Lighthouse score for performance and accessibility ✅ Enabled real-time messaging with near-zero latency via WebSocket

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