The Gist

I recommend the combination Markdown / Download / NotebookLM.

Background Info

On this page you will find instructions how to use free public AI tools to obtain answers to complex questions. Here are some sample prompts:
"Which lecturer could be interested in a project about electronic music?"
"Which free BScCS projects deal with sound processing but do not require Java skills?"
"Which Computer Science topics are most popular judged by allocation to students and awarded star counts?"

• Ideally, there should be an integrated AI chatbot here. However, the size of the project database would imply a fairly large context window and powerful hardware, so this is currently not an option.
• If UCC offered campus-wide full Google Workspace integration, then you would find links to shared Google Notebooks here. But this route is currently also not available (I did ask).
• Now, modern browsers come with AI tools that are meant for analysing tabs and browser context. For example, Firefox has an AI sidebar and Smart Windows. Surprisingly, it turns out that these tools are also not suitable for querying a RAG-like database dump. There is a multitude of technical hurdles and limitations. Feel free to ask me for details!
• Therefore, this page offers access to AI friendly RAG-like text representations of the current project database which you can then analyze with the tools of your choice, similar to what external tools like WebcrawlerAPI Free or Crawl4AI try to achive. However, a built-in solution can handle information behind a login wall much simpler and more securely. We can even generate realtime data access via cryptographically signed URLs.