Explicit data transitions
Portable IDs, migration rules, and event records make updates understandable and reversible.
FULL-STACK SYSTEMS / CASE STUDY
JobFlow.
A traceable workflow for tracking applications.
SYSTEM / 05
Structured workflow
01Capture
02Organize
03Follow up
04Review
Illustrative visualization of the workflow, not an application screenshot. Authentic media will be added after review.
01 / THE PROBLEM
Overview
A self-hosted application tracker exploring structured records, follow-up queues, data reconciliation, and future private AI assistance.
Job applications create fragmented records and follow-up responsibilities. A trustworthy tracker needs a portable data model and auditable updates.
DOMAINFull-stack Systems
STATUSValidated prototype
SOURCEPrivate / not publicly linked
02 / THE SYSTEM
Core capabilities
01
Application records and event timelines
02
Follow-up queues and status transitions
03
CSV preview, reconciliation, and export
04
API and browser workflow tests
Capabilities are summarized from project documentation; feature-by-feature implementation verification is a launch prerequisite.
03 / SEE IT IN ACTION
Video demonstration
Verified demonstration in preparation
An authentic workflow recording will appear here after media review and validation.
04 / SYSTEM DESIGN
Architecture overview
Explore the major logical stages identified in the current project documentation.
COMPONENT 01
Dashboard
Streamlit interface for reviewing records.
Conceptual architecture drawn from project documentation. Select each stage to inspect its purpose.
Read the architecture as a list
- Dashboard: Streamlit interface for reviewing records.
- API: FastAPI application and domain operations.
- Database: Local SQLite workflows with documented migration work.
- Evaluation: Automated browser and data-transfer tests.
05 / ENGINEERING APPROACH
Technical decisions
Separate roadmap from delivery
The source distinguishes tested local functionality from prospective private AI and cloud workflows.
This section describes engineering decisions and project aims. It does not assert research novelty without a literature comparison.
06 / VERIFICATION
Evidence & limitations
Available documentation
Documented test record
The repository reports CI, browser smoke tests, and a synthetic CSV-transfer test; production deployment is not implied.
Known limitations
- Not described as a complete production release.
- Cloud deployment and advanced AI automation remain separate from the validated local MVP.
07 / RESEARCH RECORD
Research & publications
No associated research publications have yet been approved for public listing. Technical reports and reproducibility resources will appear here once reviewed.
Research library ↗08 / ONGOING WORK