College Grahasthi

College Grahasthi is a web application that helps students find the perfect room to rent. It provides a platform for students to search for rooms based on their preferences and requirements. The application also allows property owners to list their available rooms and connect with potential tenants.

Features

• Search and Filter: Students can search for rooms based on location, amenities, and price range. They can apply various filters to narrow down their search results.

• Room Details: Detailed information is provided for each room listing, including images, amenities, location, and contact information of the property owner.

• User Registration and Authentication: Students can create an account, log in, and save their favorite listings. Property owners can create an account and manage their room listings.

• Rating and Reviews: Users can leave ratings and reviews for the rooms they have rented, providing valuable feedback to other users.

• Responsive Design: The application is fully responsive, ensuring a seamless experience across different devices and screen sizes.

Technologies Used

• Frontend: React.js, HTML, CSS, Tailwind CSS
• Backend: Node.js, Express.js, MongoDB
• Authentication: JSON Web Tokens (JWT)
• Database: MongoDB
• Deployment: Heroku (backend), Netlify (frontend)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/college-grahasthi.git

2. Install the dependencies for the frontend:

   cd college-grahasthi/frontend
   npm install

3. Install the dependencies for the backend:

   cd ../backend
   npm install

4. Set up the environment variables:

   • Create a .env file in the backend directory.
   • Add the following variables to the .env file and provide appropriate values:

     PORT=3001
     MONGODB_URI=<your-mongodb-connection-string>
     JWT_SECRET=<your-jwt-secret-key>
     

5. Start the backend server:

   npm start

6. Start the frontend development server:

   cd ../frontend
   npm start

7. Access the application in your browser at http://localhost:3000.

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please create a new issue or submit a pull request.