Build notes · Goh Kun Ming
Multimodal Property Price Prediction System
AI · Public project
Oct 2025 – Dec 2025
Project overview
A property-valuation prototype combining structured listings with optional text and image signals, with bounded component evaluation.
EstateScope AI is a Flask-based US property-valuation prototype combining structured listings with optional description and image signals. It supports prediction history, analytical interfaces, housing chat and model governance. The text component has a bounded held-out evaluation, while comparable evidence for multimodal uplift or production accuracy is not established.
Inside this build
- Prepared leakage-separated text training, validation and test sets.
- Evaluated the text component on 1,517 held-out examples with a pinned model artefact.
- Exposed per-modality estimates and averaged only inputs available at inference.
- Verified committed model checksums, loading and compatibility.
- Built bounded trend and distribution interfaces with authenticated history.
- Documented model promotion, rollback, container health and missing multimodal evaluation evidence.