Machine Learning AVM for Real-Estate

Job ID: 38055548

Budget: $1,500 – $3,000 USD

I'm seeking a skilled data scientist to create a Machine Learning Automated Valuation Model (AVM) to predict residential real-estate prices in Butte County, CA.

The key features I expect in this model include:
- Accurate prediction of residential real-estate prices
- Analysis of historical data to inform future predictions
- Provision of precise estimates for the identified properties
- Use AI (GPT-Vision, Claude Opus, etc...) to analyze listing images and derive more feature data about the listing for the model

The ideal candidate will have access to and expertise in utilizing the following data sources for training the model:
- Public real estate data
- MLS listings
- Home sale records
- Census data

Development should primarily be done in R, and the open source model provided at this link (https://github.com/ccao-data/model-res-avm) could be used as a starting point.

The successful completion of this project will involve creating a robust and reliable machine learning model that can accurately predict real-estate prices in Butte County, CA. Experience in property valuation models or related fields will be a significant advantage.