A comprehensive real estate platform for browsing and managing properties, compounds, and developments across Egypt with advanced search capabilities and full bilingual support.

Client
MFP Real Estate Consultancy
Year
2025
My Role
Full-Stack Developer
Duration
4 months
Services
Full-stack, Real Estate
Technologies
HTML5, CSS3
MFP Real Estate Consultancy Platform is a full-stack property management and listing web application built with Django 4.2 and Nuxt.js 3, designed to provide comprehensive real estate browsing, search, and lead generation services. The platform delivers a complete solution for showcasing properties across multiple areas and compounds in Egypt, managing detailed property listings with rich media galleries, and facilitating customer engagement through blog content and contact forms with full Arabic and English language support including RTL layout. The backend leverages Django REST Framework to deliver a robust RESTful API managing properties, areas, destinations, compounds, developers, categories, blog posts, and advanced search functionality with multi-criteria filtering. The system features comprehensive SEO optimization with automated XML sitemap generation, Open Graph meta tags for social media sharing, structured data markup, multilingual content through custom translation models, and property view tracking analytics. Media management integrates AWS S3 or Cloudinary for scalable cloud storage with automatic WebP image optimization generating multiple size variants (thumbnail 400x300, medium 800x600, large 1200x900) for optimal performance and bandwidth efficiency. The frontend offers a modern, responsive single-page application built with Vue 3 Composition API using Nuxt.js framework, providing server-side rendering capabilities, dynamic route generation, Pinia for centralized state management, Vue i18n for seamless internationalization, and Tailwind CSS for utility-first styling with custom design system. Key features include advanced property search with comprehensive multi-criteria filtering (area, compound, developer, category, price range, bedrooms, bathrooms, finishing type, delivery status), interactive area and destination browsing with detailed descriptions and statistics, compound galleries with detailed project information and property listings, developer profiles with portfolio showcase, property detail pages with image galleries and floor plans, real estate blog with categories for market insights and news, lead capture forms for property inquiries and sell requests, WhatsApp integration for instant communication, property view tracking for analytics, favorites/wishlist functionality, dynamic hero sliders with WebP optimization, partner/brand showcase with marquee effects, floating contact buttons for easy accessibility, and comprehensive 404 error handling. The application is production-ready with Railway and Render deployment configurations, PostgreSQL database for production, SQLite for development, CORS middleware for cross-origin requests, Gunicorn WSGI server, WhiteNoise for efficient static file serving, comprehensive error handling and validation, Django Unfold for modern admin interface, and API documentation structure. The platform demonstrates professional software architecture with clear separation of concerns, scalable cloud infrastructure integration, performance optimization through image processing and lazy loading, comprehensive multilingual content management system, mobile-first responsive design, and user-centric interface focused on the Egyptian real estate market with features tailored for property consultancy businesses.
















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