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// Personal project
Real Estate Estimator
I built a property recommendation platform where users enter specific requirements, like square footage, number of bedrooms, garden, parking, and location, and a trained machine learning model scores and recommends every available property that actually fits.
Tech Stack
PythonMachine LearningFull-Stack Web Development
How it works
The goal was matching by fit, not just filtering by keyword.
- Trained a machine learning model to score properties against a user's actual requirements.
- Built recommendation logic that ranks every available property by fit instead of a basic keyword filter.
Why I built it
Most property search tools just filter listings by basic keywords, square footage, bedrooms, and so on, without actually scoring how well a property fits everything a buyer cares about.
How I approached it
I trained a machine learning model on property features and used it to score and rank every available listing against a user's specific requirements, rather than relying on simple filters.
