Simple Real Estate Return Analysis Open-source Web Application. Easy to use, developed as a side project to quickly analyze and compare Residential Properties.
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Updated
Mar 3, 2021 - Python
Simple Real Estate Return Analysis Open-source Web Application. Easy to use, developed as a side project to quickly analyze and compare Residential Properties.
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.
Real estate leasing trend analysis using geospatial data and machine learning. Built during ASA DataFest 2025 by Team TLDR.
Build a predictive model for the sale prices of homes in a city and explore potential equity issues with the real-estate assessment process
An interactive dashboard displaying analysis of Toronto real estate data using PyViz, Plotly and MapBox API.
Real Estate Price Prediction based on Bangalore Dataset
Comprehensive real estate calculations to evaluate the performance of a rental investment. Calculations here are used on calculaterealestate.com
Home Market Harvester is a Python tool for scraping OLX, otodom rental data, enabling property market analysis with automated local CSV storage.
Real estate analysis dashboard with interactive visualizations to explore investment opportunities
"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.
Rentalytics is a Python-based data analysis tool that collects and analyzes rental price data for houses near Ramat-Aviv -- Tel-Aviv
Use of visualizations with PyViz and Plotly Express to show results on geographical real estate data analysis.
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.
A little Script to show the shortest cumulative commute between two workplaces.
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.
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.
🏘️ EstimaTours : Prédiction immobilière (Appartements) à Tours (37) via Machine Learning. Pipeline complet : Scraping DVF, Feature Engineering spatial, comparaison de modèles (Random Forest, KNN, K-Means) et carte interactive Folium.
AI-powered real estate insight chatbot built using Django, React, OpenAI, and Pandas. Generates locality-wise analysis, trends, and visualizations from Excel datasets.
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.
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