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- The chhpd-validator-model project is responsible for validating and cleaning healthcare professional data. It identifies healthcare professionals and normalizes their data, ensuring accurate and up-to-date information. This project is designed to improve data quality and facilitate further processing in related systems.
- AMALGAM is a project that provides a fast and efficient approach to annotate tabular data with entities from a background knowledge graph model. It combines lookup and filtering services with text pre-processing techniques to improve data quality and consistency, and facilitate data integration and interoperability.
- Plm-rt is a project that aims to optimize manufacturing processes, improve quality control, and enable real-time monitoring of industrial equipment. It achieves this by collecting and analyzing data from various sources, providing actionable insights to manufacturers, and facilitating communication between different stages of the production process.
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