AI-Assisted Apartment Search
Python tool that combines classic filters with LLM-based semantic analysis to pre-screen apartment listings.
- Combined rule-based filters with LLM-driven semantic text evaluation
- Surfaced indirectly-stated criteria such as furnishing, minimum tenancy, and suitability
- Automated a time-consuming manual search and pre-selection process
- Technologies: Python, LLMs, text analysis, automation
Context
Apartment listings often contain unstructured information that is difficult to evaluate reliably with simple filters.
My Role
I developed a Python script for automated analysis of apartment listings using LLM-assisted semantic text evaluation.
Technical Challenge
Criteria such as furnished status, minimum rental period, location or real suitability are often only indirectly mentioned in the listing description.
Solution
The script combined classic filters with LLM-based text analysis to evaluate listings semantically.
Impact
The project automated a time-consuming search process and improved the preselection of relevant listings.
Technologies
Python, LLM, Text analysis, Automation
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