AI Reference Data Reporter

I need an AI-driven application that automatically searches Google and key government websites for relevant textual information, extracts the material, and turns it into a polished, brand-specific PDF report. The workflow I have in mind is straightforward: I enter a topic or set of keywords, the system scans the chosen sources, filters and ranks the findings for credibility, then compiles a well-structured summary complete with citations and our visual branding (logo, colours, typography). A few essentials: • Source focus is textual data only. • Initial sites are Google search results and publicly available government portals, but the architecture should make it simple to add other sources later. • Final output is always a PDF, generated automatically and ready to share. • Code should be clean, well-commented and delivered with a short setup guide so my team can deploy it in our own environment. If you have experience combining web scraping, NLP, and PDF generation—ideally in Python with libraries such as BeautifulSoup, Selenium, spaCy or similar—let’s talk about timelines and milestones.