About clientInternational company, which delivers a wide range of services in the PropTech sector. Innovative solutions make possible effective management of buildings and cost optimization, increasing tenant safety and satisfaction. Thanks to the use of energy-saving technologies, the activities of the company have also a positive impact on environmental protection.
The aim of the project was to create a master application for some specific device, enabling cross-sectional and comparative analysis of data coming from many buildings.
- Project Manager
- Business Analyst
- Dot.Net Developer
- AI Scientist
Application EFFECT, which main functionalities are: management, database replication, data analysis, and presentation of the results on dashboards and reports. The analytical algorithms use Machine Learning to detect anomalies and patterns. The user gets a tool that detects anomalies taking account of data gathered from numerous objects. The application can be installed in the local network, remote server, or in the cloud.
Technology used in project
.Net, C++, InfluxDB, Kapacitor with Python algorithms, Grafana.
Value we added
energy audits, property managers, manufacturing plants