real-estate-analysis

Commercial real estate AI agent skills for CRE underwriting, due diligence, financing, brokerage, legal and closing workflows - standalone prompts for Claude Code, ChatGPT, Cursor, and other LLMs.

Simple Real Estate Return Analysis Open-source Web Application. Easy to use, developed as a side project to quickly analyze and compare Residential Properties.

Comprehensive real estate calculations to evaluate the performance of a rental investment. Calculations here are used on calculaterealestate.com

Build a predictive model for the sale prices of homes in a city and explore potential equity issues with the real-estate assessment process

Real estate leasing trend analysis using geospatial data and machine learning. Built during ASA DataFest 2025 by Team TLDR.

An interactive dashboard displaying analysis of Toronto real estate data using PyViz, Plotly and MapBox API.

Real estate analysis dashboard with interactive visualizations to explore investment opportunities

17 Claude Code skills for commercial real estate due diligence, underwriting, financing, lease and loan review, title and survey analysis, and market research. Works with Claude, ChatGPT, and any LLM. No API keys.

Home Market Harvester is a Python tool for scraping OLX, otodom rental data, enabling property market analysis with automated local CSV storage.

Real Estate Price Prediction based on Bangalore Dataset

"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Using Python coding and Juptyer notebook for multiple methodologies to model statistical algorithms.

Use of visualizations with PyViz and Plotly Express to show results on geographical real estate data analysis.

Rentalytics is a Python-based data analysis tool that collects and analyzes rental price data for houses near Ramat-Aviv -- Tel-Aviv

Predictive analytics of King County real estate prices using data mining techniques. Insights for home valuation and trend analysis from May 2014 to May 2015 dataset.

NYC Real Estate price prediction app using Random Forest and Streamlit

Comprehensive EDA Portfolio showcasing data analysis expertise across diverse domains including e-commerce, healthcare, real estate, retail, and finance. This repository demonstrates proficiency in Python, data visualization, statistical analysis, and business intelligence using real-world datasets from Kaggle.

A little Script to show the shortest cumulative commute between two workplaces.

Built an interactive Power BI dashboard on a 100,000-row housing dataset to analyze regional sales trends, offer vs purchase price behavior, YOY sales growth, SQM pricing, and house-type performance using DAX measures, filters, and key influencer analysis.

The official Python library for Indian Housing Datasets. Access standardized real estate data for Mumbai, Delhi, Bangalore, and Ahmedabad for Machine Learning, Data Science, and Price Prediction projects.

An intelligent FinHouse Price Intelligence system. It automates dbt transformations via Jenkins and features a Gemini-powered AI Agent for natural language database querying (Text-to-SQL). A complete modern data stack for real-time market insights.