This project is a Melbourne rental market analysis dashboard. It visualises weekly rent prices across 100+ suburbs for different property types (1-4 bed flats and houses).
Analyzing Dhaka's Bachelor-Friendly Rental Properties
RentCast provides a real estate data API with instant access to over 140 million property records, automated valuation models (AVM) for home value and rent estimates, active and historical sale and rental listings, and aggregate real estate market statistics for US zip codes.
OpenRent property listings data
Scrape Apartments.com rental listings, 90+ property details & manager emails in Python — full Akamai bypass handled.
The Virtual Real Estate Rental Market is a decentralized, trustless platform built on the Stacks blockchain that enables seamless leasing of virtual properties including metaverse land, digital spaces, and virtual real estate assets.
This project predicts apartment rental prices using machine learning techniques based on features like square footage and location. After preprocessing and dimensionality reduction with PCA, a Random Forest Regressor was used, achieving high accuracy R² = 0.90. The model helps renters and property owners make data-driven pricing decisions.
rent listings extraction tool
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