https://github.com/gurarpitzz/semantic-research-matchmaking-engine Guys, quick one — I built something and I genuinely want your honest thoughts on it.

Problem I noticed:

Finding researchers to collaborate with is weirdly manual. You Google faculty pages, open profiles, search papers, hunt emails… it’s messy and slow.

So I built SRME (Semantic Research Matchmaking Engine).

You just give it a university faculty page + your research interest (like “Explainable AI”), and it:

• crawls the entire directory (even A-Z, AJAX, JS pages)

• extracts professors, emails, papers

• builds embeddings

• tells you who is most relevant to your topic

Basically: Google for researchers, but semantic.

Would love if you guys could take 2 mins, check it, and tell me:

– what feels impressive

– what feels unnecessary

– what feels confusing / could be better

The idea is to remove the manual effort of finding relevant faculty, papers, and contact info for collaboration.