Endeksa.com
Endeksa’s property valuation system, which offers over 90% accuracy, is built on an advanced infrastructure powered by data analytics and machine learning algorithms. Designed to handle millions of data queries per hour, Endeksa caters to platforms like Hürriyet Emlak and Emlak Jet. From a software engineering perspective, achieving this level of performance and accuracy involves the integration of a range of cutting-edge technologies.
At the core of Endeksa’s infrastructure is a backend architecture developed in C#, which communicates seamlessly with various applications via REST APIs. Supported by a Node.js-based frontend, this system enables rapid and effective data communication, while machine learning algorithms analyze the data and provide real-time estimates of minimum, maximum, and average property values. This speed and accuracy are achieved through Python-based machine learning models working behind the scenes.
The ability to scale and handle high-volume data queries is enabled by containerized microservices deployed on Kubernetes and Docker. These microservices dynamically scale resources, while Nginx balances the load across the system, allowing Endeksa to handle millions of queries quickly and reliably.
For database management, Azure SQL and SQL Server are used to securely store data, while Redis ensures rapid retrieval of frequently requested data. Additionally, ElasticSearch and Kibana offer advanced search and data visualization capabilities, enabling users to access in-depth information about property values and market trends. System performance is continuously monitored and optimized using Prometheus and Grafana.
Endeksa's service is bolstered by CDN integration and a distributed structure through Azure Web App, allowing it to respond instantly to millions of queries from platforms like Hürriyet Emlak and EmlakJet. By leveraging ElasticSearch and Azure SQL, the system efficiently processes data requests, allowing users to access comprehensive information on demographic data, past election results, and neighborhood amenities within seconds.
On the frontend, AngularJS provides a fast and user-friendly interface, enabling users to quickly access property values for several types of real estate, including residential, office, retail, and land. From a software engineering standpoint, Endeksa represents a solution that leverages today’s most advanced technologies to offer a comprehensive real estate platform. By bringing all these technologies together, we’ve created a system that sets new standards in the industry.
endeksa.com
Endeksa stands out as a scalable, reliable, and performance-driven platform that meets the data needs of users seeking accurate and rapid property valuations. As a software engineer, developing a system that pushes the boundaries of modern technology and offers an innovative, user-centric solution to the real estate sector has been a significant milestone.