Condollo - AI Home Valuation
Project Overview
Developed an innovative AI-powered home valuation system that leverages municipal open data APIs to provide accurate property valuations across Canada. The system combines historical transaction data, property characteristics, and real-time market trends to generate precise valuations, helping users make informed real estate decisions. By integrating municipal assessment data with machine learning algorithms, we've created a robust solution that considers local market dynamics and property-specific features.
Roles & Contributions
Municipal API Integration
Developed robust integrations with multiple municipal open data APIs to fetch property assessment data, tax information, and historical transaction records. Implemented data normalization processes to handle varying data formats across different municipalities.
AI Valuation Model
Created a sophisticated machine learning model that combines municipal assessment data with market trends to generate accurate property valuations. The model incorporates features such as property size, location, recent sales, and neighborhood demographics.
Data Pipeline Development
Built automated ETL pipelines to continuously update the valuation model with fresh data from municipal sources. Implemented data validation and cleaning processes to ensure high-quality inputs for the AI model.
Real-time Market Analysis
Developed algorithms to analyze real-time market trends and adjust valuations accordingly. Integrated multiple data sources to provide comprehensive market insights alongside property valuations.
User Interface Development
Designed and implemented an intuitive interface for users to access property valuations and market insights. Created interactive visualizations to help users understand valuation factors and market trends.