Python package for scraping real estate property data
Real Estate Website Built With ReactJs and Tailwindcss: Features - Property Listing, Property Details, Testimonial, FAQs, Blogs | Populates data from Open Source Real Estate API
Python package to extract and analyse Canadian, United States and Indian real estate data from REALTOR.CA, REALTOR.COM and HOUSING.COM
All homes in top locations, Nexter is manageable realtor app that allows its users to find a home that’s perfect for everyone no matter their preferences. this project is solely (user-interface) only
Extend realtor.com filters base on certain conditions and pull total number of houses by price range, and exported to a csv file.
A landing page website for various buyers to get luxurious and ffordable homes and properties by top realtors.
An application that helps realtors to more easily control their objects and find clients
Predicting House Prices Based on Varied ML Methods Such as Random Forest and XGBoost
The Modern MERN Real Estate Marketplace is a full-stack web application built using the MERN stack (MongoDB, Express.js, React, Node.js). It serves as a platform for users to buy, sell, and rent real estate properties. The application features a user-friendly interface, secure authentication, and a powerful search functionality.
Search homes for sale, new construction homes, apartments, and houses for rent.
This python based Realtor.ca Scraper scrapes realtor leads into excel file. It relies on cookies, therefore you'll have to refresh the browser to keep your cookies alive
This project demonstrates my knowledge of implementing a relational database model. This repository includes the conceptual model, the logical model, and all the SQL scripts for this database to function.
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