About CityScraper

Website
  • AI-powered real estate platform revolutionizing property search and investment decisions
  • Leverages advanced machine learning algorithms for predictive insights
  • Analyzes market trends, location data, and user preferences
  • Provides personalized property recommendations for buyers, investors, and agents
  • Implements predictive pricing models to forecast property value changes
  • Offers intelligent filters like neighborhood growth, walkability, and school ratings
  • Designed a seamless, user-friendly interface for effortless property discovery
  • Delivers transparent insights to build trust in pricing and recommendations
  • Streamlines the real estate decision-making process into a single powerful platform
  • Enhances user satisfaction by simplifying search and enabling smarter investments
CityScraper Project Screenshot

Problems Faced

Building an AI-powered real estate platform came with several complex challenges that required innovative solutions.

  • Fragmented real estate data made it difficult to provide accurate insights.
  • Users lacked trust in generic property recommendations without transparency.
  • Predicting property prices and trends across different regions was complex.
  • Creating a balance between advanced analytics and simple user experience.

Results

This shows the performance improvements and impact achieved by our AI-powered real estate platform

40%

reduction in property search time for users

8-10%

accuracy in predictive pricing compared to actual market sales

100%

seamless user experience across desktop and mobile platforms

Technologies & Integrations

Vue.js

Vue.js

Python

Python

FastAPI

FastAPI

MapBox

MapBox

logo

Services

Contact Us

  • +92-313-4488511

  • talha.shakil@codylio.com

  • Gulberg II, Lahore, Punjab, Pakistan

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