gunnu-15/AI-Powered-Finance-Operations-Dashboard
A Python + Streamlit web app that ingests invoices (PDF/CSV), uses GPT-4o to extract and categorize data, flags overdue payments, auto-drafts follow-up emails, and displays a live finance ops dashboard. Tech stack: Python · OpenAI API · Streamlit · pandas · smtplib
SUMMARY AI summary by gpt-5-mini
Finance Ops AI Dashboard is an open-source Streamlit app that automates invoice tracking, overdue detection, and vendor follow-up for small, lean finance teams (typical seed-stage or 2-person ops). It replaces spreadsheet-based workflows with a searchable invoice ledger, KPI cards, and interactive charts (status donut, monthly volumes, top vendors, overdue-risk map). Users can upload PDFs for data extraction via GPT-4o or regex heuristics, edit parsed fields, and add them to the ledger. The tool can generate one-click follow-up emails tiered by severity (gentle / firm / escalation); GPT-4o is optional and an offline template mode is available. Built with Python, pandas, pdfplumber, Plotly; MIT-licensed.
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| Created on GitHub | 2026-05-11 |
| Last push | 2026-05-11 |
| First seen here | 2026-05-11 |
| Last fetched | 2026-05-11 16:13 |
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