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Week 11 - 13.June.2026

Progress: Skill Matching, Advanced Discovery & Documentation Deployment

The final week refined the matching engine, expanded job discovery, and made the progress book itself deployable alongside the rest of the platform.

Matching & job discovery

  • Upgraded the skill-matching and job-recommendations algorithm and wired up the job-creation API.
  • Expanded job portal metadata, implemented advanced discovery filtering, and added an interview pipeline stage.
  • Embedded the job feed and detail views into the main dashboard sidebar layout.
  • Updated the student saved-jobs list.

Documentation deployment

  • Added Docker support for the progress_book (multi-stage build with mdBook, served via nginx) and updated the deployment workflow so the book is built, pushed to GHCR, and hosted alongside the backend and frontend.

Outcome

The end-to-end recruitment loop — matching, applying, employer pipeline management, offers, and acceptance — is in place, and the progress book is now a deployable service in the same CI/CD pipeline.

Challenge

The closing challenge was tuning the skill-matching and recommendation algorithm so suggested jobs feel relevant, then layering on advanced discovery filtering and a new interview pipeline stage without overcomplicating the data model. A final, different kind of challenge was operational: turning the static mdBook into a deployable service — a multi-stage Docker build served by nginx and wired into the same GHCR/CI-CD pipeline as the backend and frontend.

Commits this week

  • feat: upgrade skill matching & job recommendations algorithm, wire up job creation API.
  • feat: expand job portal metadata, implement advanced discovery filtering, and add interview pipeline stage.
  • style: embed job feed and detail views into main dashboard sidebar layout.
  • update saves job list for student.
  • Add Docker support for progress_book with nginx and update deployment workflow.