Grant Proposal Assembly & Submission Automation

A compliance-focused Python automation and workflow resource for federal grant proposals — built for NIH, NSF, and DoD solicitations.

Federal grant submission is a deterministic engineering problem hiding inside a regulatory one. This resource treats every funding opportunity as a structured data contract: parse the solicitation, validate the requirements as code, format the budget justification to agency standards, route institutional approvals, sync with submission portals, and log every decision for audit.

The guides here are written for research administrators, grant writers, university technology teams, and the Python automation builders who connect them. Each page pairs the compliance reasoning with concrete, runnable implementation patterns — schema mapping, PDF ingestion, rule engines, and validation pipelines you can adapt to your institution.

Start with the architecture and taxonomy to model agency requirements, move through ingestion and parsing to turn documents into structured data, then enforce correctness with the compliance and rule-engine guides.

What's inside

Three connected pillars take a solicitation from raw PDF to an audit-ready, submission-validated package.