AI enabled real estate marketplace

The project was aimed at delivering a custom, a cross-platform solution with rich, easy-to-navigate functionality, enhanced with computational technology to provide higher competitiveness on the real-estate market.

Tech stack:

React Native, Node.js, Python

ML stack:

Pandas, Matplotlib, Seaborn, XGBoost, H2O Driverless AI, Jupyter Notebook, TensorFlow Recommenders

Tools:

AWS services, PostgreSQL, ElasticSearch, Glue Crawler

ML algorithms:

Extreme Gradient Boosting, Principal Component Analysis, Singular Value Decomposition, Matrix Factorization, Clustering, Artificial Neural Networks, Natural Language Processing

Speaking about the project’s main goals:

1. Software development

At the first stage, our team was focused on designing a marketplace with an intuitive property search based on specific criteria and filters.

2. ML training and implementation

At the next stages, our engineers were working towards implementing machine learning for streamlined property matching and comparison.

Our team has covered:

• Software development:
  • Cloud architecture
  • Application architecture (frontend, backend, data storage)
  • Data architecture
  • MVP composition
• ML training and implementation

Value delivered to business:

We delivered a platform that generates relevant recommendations to facilitate property search and matching. The marketplace, enhanced by machine learning, is an appealing solution streamlining greater customer reach and higher market competitiveness.

Read more about this case: https://www.abtosoftware.com/portfolio/ai-enabled-real-estate-marketplace