Property Inspector
Customer portal for FoxyAI’s AI-powered real estate and property workflows.
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About
Property Inspector is an AI-powered property management and inspection platform designed for the real estate industry. By analyzing property images with advanced computer vision models, it automatically detects damaged areas, structural issues, and wear-and-tear, then assigns a quality score to guide property managers, insurers, and real estate agents. This reduces the need for manual inspections, speeds up evaluation processes, and provides a consistent, unbiased assessment of property conditions.
Highlights
- Accuracy of AI Damage Detection: Variations in lighting and image quality affected detection. We solved this by training models on diverse datasets and applying preprocessing techniques like normalization and augmentation.
- Scalability for Large Portfolios: Property managers often upload thousands of images. AWS autoscaling with Docker containers ensured fast, concurrent processing.
- Data & inference infrastructure: Stored property records, inspection history, and scores in PostgreSQL; hosted image assets and scalable inference on AWS with Dockerized services.
- Integration with Legacy Systems: Many clients relied on outdated property platforms. We developed REST/GraphQL adapters for smooth integration with CRMs and listing systems.
- Consistent Quality Scoring: To avoid subjectivity, we built a rule-based scoring layer on top of AI detections, ensuring standardization across inspections.
Tech Stack
ReactNext.jsTypeScriptTailwindCSSNode.jsPythonTensorFlowPyTorchPostgreSQLAWSDockerGraphQL