This real estate listing app is a user-friendly platform that allows users to browse, search, and list properties with ease. Featuring detailed property descriptions, high-quality images, and advanced search filters, the app is designed for a seamless user experience. The project was developed using a React front-end with Node.js and Express on the back-end, and MongoDB for data storage. This application enhanced my skills in full-stack development, particularly in creating responsive and interactive user interfaces and managing complex data requirements in real estate.

⚠️ Please note: There are currently some bugs in the website that I am aware of and actively working to fix. Don't worry, I will resolve these issues in the future updates to ensure a better user experience! ⚠️

Features

• Property Listings: Browse properties for sale or rent, view detailed information including images and descriptions.
• Interactive Map: View property locations on a map using Leaflet for an immersive experience.
• User Profiles: User registration and authentication for managing property listings.
• Image Uploads: Property images can be uploaded and displayed alongside listings.
• Search & Filters: Advanced search functionality with filters for price, location, type of property, and more.

Tech Stack

• Frontend: Built with React to provide a dynamic, interactive user interface.
• Backend: Powered by Node.js and Express for handling server-side logic and API endpoints.
• Database: MongoDB for storing property listings, user profiles, and property images.
• Map Integration: Leaflet for displaying interactive maps with property locations.
• Styling: Designed with CSS and Tailwind CSS for responsive and user-friendly design.
• Hosting: Deployed on Vercel for the frontend, and the backend is hosted on Render or Heroku.

Implementation

Frontend

• Developed using React with a component-based architecture for modularity and reusability.
• Integrated React Router for seamless navigation across pages.
• Used Leaflet to create interactive maps that display property locations.

Backend

• Built with Express.js to create RESTful APIs for managing property data and user profiles.
• Implemented JWT for user authentication and bcrypt for password encryption.
• APIs to handle CRUD operations for property listings, image uploads, and user management.

Database

• MongoDB Atlas for cloud-based NoSQL database to store listings, images, and user data.
• Indexing and search filters implemented to efficiently retrieve listings based on user preferences.
• Mongoose used for data modeling and schema validation.

Deployment

• Frontend hosted on Vercel for seamless performance and updates.
• Backend hosted on Render or Heroku, with Docker support for containerization.

How It Works

1. User Onboarding: Users can sign up, log in, and create a profile.
2. Property Listings: Users can list properties by uploading images, providing descriptions, and setting pricing.
3. Map View: Browse properties on the interactive map and view detailed information.
4. Search & Filters: Use search and filter options to find properties based on specific criteria.

Challenges Faced

• Image Uploads: Handling image uploads and storage securely, ensuring smooth user experience with large image files.
• Search Functionality: Implementing advanced search filters that work efficiently with large datasets.
• Map Integration: Integrating Leaflet for displaying property locations on a map while maintaining performance.

Future Enhancements

• Adding property ratings and reviews from users to enhance credibility.
• Implementing real-time chat between property buyers and sellers.
• Integrating payment gateway for booking/renting properties directly through the app.