We are building a desktop GUI application to manage and monitor our AI-powered SEO Automation System. The system already runs on Ubuntu with Python, PostgreSQL, and Qdrant, and includes competitor scraping, SEO audits, and cron-based automation. We now need a user-friendly local GUI to simplify control and monitoring. Project Scope Wrap existing Python CLI scripts in a GUI (start/stop modules, run scrapers, trigger audits). Display logs in real time (from /opt/ai-seo/logs/). Database integration (PostgreSQL): View task history (task_logs) Review audit results (page_audits, audit_issues) Show competitor data (competitor_pages) Controls for system tasks: Run daily/weekly scrapes Trigger backups / verify jobs Toggle review vs auto mode (from .env/config) Basic dashboards (summaries of backlinks, citations, content drafts, errors). Technical Requirements Python GUI framework: PyQt5/PySide (preferred) or Tkinter/Kivy. Alternative option: Electron.js or Tauri desktop app that integrates with Python scripts. DB experience: PostgreSQL (psycopg2/SQLAlchemy). System knowledge: Familiarity with CLI tools, cron jobs, subprocess handling. Packaging: Deliverable must be installable as a local desktop app (.exe for Windows and/or .deb/.AppImage for Linux). Deliverables Cross-platform GUI app with clean UI (tabs or sidebar navigation). Integrated controls to run/stop scripts and display results. Database connections for read-only dashboards. Installation package + documentation for setup. Source code (well-commented, modular, version-controlled). Ideal Candidate Strong background in Python GUI development (PyQt / PySide / Tkinter). Experience integrating Python automation scripts into desktop apps. Familiar with PostgreSQL, logging, and API connectors. Able to design a clean, functional UI for technical operators. Bonus: SEO tools or data scraping experience.