# EstateIQ

**Canonical page:** <https://www.devarps.com/case-studies/6>  
**Category:** Web Platform  
**Client:** PropTech Ventures  
**Timeline:** 5 Months  
**Role:** AI Integration

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## Summary

AI-powered real estate valuation tool. Analyzes market trends to provide instant property estimates for agents.


**Highlights:**
- Accuracy: 98%
- Listings: 1M+


## Challenge

Real estate agents were manually valuing homes using gut feeling. The client wanted a data-driven tool that could analyze market trends and predict property values instantly.

## Solution

We built a Python-based scraping engine to aggregate data from 5 major property portals. We trained a Machine Learning model (Scikit-Learn) to analyze price-per-sqft trends. The frontend visualizes this data in interactive heatmaps.

## Results

- **Accuracy:** 98%
- **Listings:** 1M+
- **Agent Adoption:** 85%
- **Data Points:** 50M

## Tech stack

Python · Scikit-Learn · React · Mapbox · FastAPI

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