Malora
Feasibility, audit & Zakat platform
2025
MENA
Node.js • JavaScript • HTML/CSS
Case StudyA financial and legal platform for feasibility studies, audits and Zakat calculation, with a server-side document pipeline that produces finished, paginated reports as PDFs.
Ressan's role
Platform engineering and document pipeline
System state
In production · running now
What was built
- Feasibility-study modelling with structured financial inputs
- Audit workflows with review states
- Zakat calculation with configurable rules and bases
- Server-side document generation: paginated, print-ready PDF output
- Report templating kept separate from calculation logic
- Role-separated access for practitioners and clients
Evidence
No sourced metric on this project.
We shipped this system, but we do not have a measurement we can attribute to it. Rather than estimate a percentage, here is the scope in full — which is a claim you can check with the client.
Delivered
2025
Engagement window recorded for this system.
Surface area
6 modules
Distinct things built, listed on this page.
Stack
9 technologies
Taken from the project's own dependency manifest.
01
The problem
Advisory work of this kind is document-heavy and formula-heavy. When the arithmetic lives in a spreadsheet and the document is retyped, every revision risks two versions of the truth — and in an audit context that is not an acceptable failure mode.
02
The approach
We separated calculation from presentation. The model computes once and stores results; the document layer renders those stored results through print-oriented templates. That gives paginated, print-ready output that cannot drift from the figures it describes, and it moved report production from a manual desktop step into the application.
03
The outcome
Practitioners produce client-ready reports from within the platform, with the document guaranteed to match the model that produced it.
Technology
The stack as shipped.
- Node.js
- JavaScript
- HTML/CSS
- Paged.js
- Puppeteer
- PDF-Lib
- PDF-Parse
- Jsdom
- PostgreSQL