A suite of engineering and municipal intelligence tools — combining Python, data automation, and applied infrastructure analytics to modernize the civil engineering workflow.
Brice-Engineering-Systems brings together applications that bridge traditional civil engineering with data-driven software.
Each project is designed to streamline municipal processes, automate repetitive engineering tasks, and introduce scalable backend intelligence into public-sector infrastructure work.
Where the Backend Projects org focuses on pure software engineering,
this org focuses on practical engineering applications — built by an engineer, for engineers.
| Category | Tools / Frameworks |
|---|---|
| Languages | Python 3.12+ |
| Frameworks | Flask • FastAPI • Jinja2 |
| Database | PostgreSQL • SQLite • DuckDB |
| Data & APIs | Pandas • Requests • OpenAI / Whisper (for local AI) |
| Automation & Docs | Word / Docx • Markdown • Pandoc |
| DevOps | uv • GitHub Actions • Docker (select projects) |
| Repo | Description | Status |
|---|---|---|
| Cost-Query-Pro | A Python-powered app to search, manage, and analyze unit cost data from infrastructure projects — streamlining cost lookups, data uploads, and historical bid tracking. | 🧮 Active Development |
| Projex | Project planning and checklist system for civil and municipal project workflows. Built to track tasks, sequences, and construction readiness. | 🗂️ Private |
| Fund-Finder | API-driven application to locate infrastructure and grant funding opportunities for municipalities. Includes dataset lookups and funding criteria matching. | 💰 In Progress |
| Minute-Gen | Local meeting-minute generator that converts audio recordings into formatted Word documents — no external servers or cloud dependencies required. | 🗣️ Public Utility |
Each project solves a tangible civil engineering problem:
| Goal | Example Application |
|---|---|
| Data-driven design | Cost Query Pro’s bid-tab analytics and cost indexing |
| Automation of admin tasks | Minute-Gen’s transcript → Word pipeline |
| Funding and resource intelligence | Fund-Finder’s API integrations for municipal programs |
| Project coordination | Projex’s construction phase task tracking |
- Real problems, real datasets — Each project reflects actual engineering pain points.
- Full autonomy — Designed to run locally or deploy easily on municipal infrastructure.
- Minimal AI reliance — AI is used for summarization or transcription only when strictly needed.
- Transparency & reproducibility — All calculations, datasets, and reports are open and verifiable.
src/
├── api/ # REST endpoints for project & cost data
├── models/ # Database schema for bid items, units, history
├── services/ # Query engine & analytics functions
├── utils/ # Helper methods, validation, I/O
└── templates/ # Jinja2-based front-end
tests/
docs/
.env.example
README.md
- 🔍 Expanding Cost Query Pro with region-based filtering and trend dashboards.
- 🧱 Integrating Projex into a modular civil project planning system.
- 💡 Adding offline inference options for Minute-Gen.
- 💰 Linking Fund-Finder datasets to state and federal API endpoints.
Setup files (e.g., .gitignore, README.md, CI templates) may be generated with AI assistance for speed and consistency.
However, engineering logic, analysis modules, and workflow design are fully human-built, grounded in actual civil-engineering practice.
AI = scaffolding.
Human = engineering systems.
MIT License © 2025 Brice Nelson
Open for public learning and collaboration where applicable.
- 🌐 Portfolio: https://www.devbybrice.com
- 🧠 Blog: Medium — Data, Infrastructure & Automation
- 💼 LinkedIn: Brice Nelson
“Where data meets design — building smarter infrastructure through code.”