Problem
Industrial maintenance and operations context can become fragmented when logs, asset records, and incident notes are not organized as one reviewable workflow.
archive case study
An industrial e-logbook and asset registry repository for maintenance, operations, and incident-tracking workflows.
Quick technical review
Industrial maintenance and operations context can become fragmented when logs, asset records, and incident notes are not organized as one reviewable workflow.
An Express and Mongoose backend (Asset, LogEntry and User models, JWT authentication, admin, operator and supervisor roles) and a React, Vite, Zustand and Tailwind frontend with Dashboard, Assets, Logs and Login pages, packaged with Docker Compose…
An Express and Mongoose backend (Asset, LogEntry and User models, JWT authentication, admin, operator and supervisor roles) and a React, Vite, Zustand and Tailwind frontend with Dashboard, Assets, Logs and Login pages, packaged with Docker Compose and a CI workflow. The repository has no automated tests yet.
Implements an industrial e-logbook and asset registry with role-based access (Express, Mongoose, JWT, React).
Inspect this as archive proof, not as a lead analytics case study.
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Portfolio illustration
Original portfolio illustration. Diagrams are conceptual; verified methods and results appear in the linked case study. This is not an application screenshot.
Project proof
Last verified 2026-10-05
Problem and approach
Industrial maintenance and operations context can become fragmented when logs, asset records, and incident notes are not organized as one reviewable workflow.
An Express and Mongoose backend (Asset, LogEntry and User models, JWT authentication, admin, operator and supervisor roles) and a React, Vite, Zustand and Tailwind frontend with Dashboard, Assets, Logs and Login pages, packaged with Docker Compose and a CI workflow. The repository has no automated tests yet.
The project supports the portfolio as evidence of thinking about maintenance records, asset registry structure, and incident-tracking surfaces.
It broadens the archive with operations-software context without competing with the lead analytics and data science projects.
Architecture and analysis
Testing and validation
Operational value
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