DreamHome - Real Estate Web Listing -- 2
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted2 hours ago
Absolutely. Based on your **RealState / DreamHome** project, you can use this professional description for your README, CV, portfolio, or project presentation.
### DreamHome — Real Estate Web Application
**DreamHome** is a full-stack real estate web application designed to help users **search, explore, and manage residential properties** such as apartments, flats, 2BHK, 3BHK, and other buildings.
The application provides a user-friendly interface where users can browse properties, search according to their requirements, register/login securely, and manage their profiles. The backend is built with **Node.js, Express.js, and MongoDB**, while authentication is implemented using **JWT and HTTP cookies**.
### Key Features
* **Property Search & Filtering** — Search properties based on requirements such as BHK, property type, location, etc.
* **Property Listings** — Display available apartments, flats, houses, and buildings.
* **User Registration & Login** — Users can create accounts and securely log in.
* **JWT Authentication** — Protected user routes using JWT authentication.
* **Cookie-Based Authentication** — Authentication tokens are stored using HTTP cookies.
* **User Profile** — Users can view and update their profile.
* **Logout Functionality** — Securely log users out by removing the authentication session.
* **MongoDB Database** — Stores user and property-related information.
* **REST API** — Backend APIs are created using Express.js.
* **CORS Support** — Allows communication between the frontend and backend.
### Technologies Used
**Frontend:**
* HTML
* CSS
* JavaScript
**Backend:**
* Node.js
* Express.js
* MongoDB
* Mongoose
* JWT
* Cookie Parser
* CORS
* dotenv
### Short CV Description
> **DreamHome – Real Estate Web Application:** Developed a full-stack real estate platform using HTML, CSS, JavaScript, Node.js, Express.js, and MongoDB. Implemented property search and filtering, user registration/login, JWT-based authentication, cookie-based sessions, protected APIs, and profile management.
### One-line Portfolio Description
> **A full-stack real estate platform for searching and managing properties with secure user authentication and MongoDB-powered APIs.**
### DreamHome — Real Estate Web Application
**DreamHome** is a full-stack real estate web application designed to help users **search, explore, and manage residential properties** such as apartments, flats, 2BHK, 3BHK, and other buildings.
The application provides a user-friendly interface where users can browse properties, search according to their requirements, register/login securely, and manage their profiles. The backend is built with **Node.js, Express.js, and MongoDB**, while authentication is implemented using **JWT and HTTP cookies**.
### Key Features
* **Property Search & Filtering** — Search properties based on requirements such as BHK, property type, location, etc.
* **Property Listings** — Display available apartments, flats, houses, and buildings.
* **User Registration & Login** — Users can create accounts and securely log in.
* **JWT Authentication** — Protected user routes using JWT authentication.
* **Cookie-Based Authentication** — Authentication tokens are stored using HTTP cookies.
* **User Profile** — Users can view and update their profile.
* **Logout Functionality** — Securely log users out by removing the authentication session.
* **MongoDB Database** — Stores user and property-related information.
* **REST API** — Backend APIs are created using Express.js.
* **CORS Support** — Allows communication between the frontend and backend.
### Technologies Used
**Frontend:**
* HTML
* CSS
* JavaScript
**Backend:**
* Node.js
* Express.js
* MongoDB
* Mongoose
* JWT
* Cookie Parser
* CORS
* dotenv
### Short CV Description
> **DreamHome – Real Estate Web Application:** Developed a full-stack real estate platform using HTML, CSS, JavaScript, Node.js, Express.js, and MongoDB. Implemented property search and filtering, user registration/login, JWT-based authentication, cookie-based sessions, protected APIs, and profile management.
### One-line Portfolio Description
> **A full-stack real estate platform for searching and managing properties with secure user authentication and MongoDB-powered APIs.**
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