Documenting code, one commit at a time.
Recently, our team working on the Ryuu-no-Mi/Inmotech-Backend project addressed a critical security and usability issue related to Cross-Origin Resource Sharing (CORS) in our OAuth 2.0 implementation. This fix was crucial for ensuring seamless and secure interactions between our decoupled frontend applications and the authentication server, preventing common browser-based security blocks.
Our ongoing work on the Inmotech-Backend project, a core component of Ryuu-no-Mi's property platform, recently focused on significantly improving its property search capabilities. With a catalog exceeding 30,000 properties, the challenge was to offer highly accurate geographical filtering and a responsive user experience through dynamic search facets.
Previously, our search
In the Ryuu-no-Mi Inmotech-Backend project, our goal is to provide a robust platform for property management. A critical component of any such platform is an intuitive and powerful search capability that allows users to find properties based on highly specific criteria.
Traditional basic search often falls short when users need to refine their results based on multiple criteria,
Searching for properties can often be a frustrating experience. Stiff search interfaces that don't dynamically adapt to your choices or provide relevant groupings can quickly turn a hopeful search into a chore. In the Ryuu-no-Mi/Inmotech-Backend project, we've recently rolled out a significant feature to transform this experience, particularly for 'venta' (sale) and 'alquiler' (rental)
Imagine building a job platform where the perfect candidate meets the ideal job. The smart-job-matcher project aims to achieve just that. This post dives into recent enhancements focused on integrating job offer data and providing intelligent skill recommendations to streamline the matching process.
A key update involves bolstering the MatchService
The smart-job-matcher project aims to streamline the job application process by intelligently matching candidates with suitable job opportunities. A recent enhancement focuses on improving the analysis of PDF documents submitted by candidates and ensuring data integrity through validation.
The existing system lacked robust PDF analysis capabilities, resulting
The smart-job-matcher project aims to intelligently connect job seekers with relevant opportunities. Recent efforts have focused on implementing a system for analyzing and matching candidates based on their CV data.
This feature introduces a new component responsible for extracting information from CVs and using that information to
