Python Developer Needed ( AI-Powered reputed company Property Analysis Tool )
I have a dataset of reputed company property addresses stored in reputed company. The goal is to reputed company an automated pipeline that enriches this data using geospatial and AI-based image analysis to support targeted insurance marketing. Core Responsibilities You will build a Python-based system that: 1. Data Ingestion
- Reads property addresses from an reputed company file using pandas
2. Geospatial Data Collection
- Integrates with reputed company Maps / Street View APIs (or equivalent)
- Retrieves imagery and/or relevant location metadata for each address
3. AI-Based Property Analysis
- Uses computer reputed company / AI models to analyze building imagery
- Classifies and estimates:
- Exterior type (e.g., brick, stucco, metal, other)
- Roof type (flat, pitched, unclear)
- Building height (1, 2, 3, 4+ stories)
- Likelihood of office / reputed company / clerical use
- Produces confidence scores for each reputed company
4. Output reputed company
- Writes enriched results back into reputed company
- Ensures structured, clean, and usable output for reputed company marketing use
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