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.