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Let’s be real. Students want to get into research. Professors want reliable students. And yet… nothing connects.
I’ve seen it firsthand: every other student I know wants research exposure but has no idea where to start. Meanwhile, professors are constantly hunting for dependable students to handle simulations, data prep, or literature reviews. Right now, this is a broken system. Opportunities vanish in random emails or closed WhatsApp groups, and the result is a massive waste of talent and time.
So here’s the solution: INQUIRO — from the Latin “to inquire, to seek.”
Inquiro is a campus-first platform that uses AI to solve this disconnect, literally bringing the seekers together with the knowers. Professors can post scoped projects (2–10 weeks, not a lifetime commitment). Students build profiles with their skills—Python, MATLAB, writing, and poster design. The AI engine handles the matching. No more begging. No more “sir, any openings?” spam. Just clarity.
What makes Inquiro different?
This isn’t LinkedIn for job hunters. This isn’t ResearchGate for post-docs. This is built for us—undergraduates who want to build, learn, and make an impact now.
- Smart Matching: Professors post projects and students showcase their skills. Inquiro’s AI does the matching, connecting the right student to the right project without the guesswork.
- AI Recommendations: Inquiro doesn’t just match; it nudges. Students get personalised suggestions like, “You did ML in biology, check out this genomics project.” Faculty get insights like, “These 5 students are strong in data viz but haven’t been utilised this semester.”
- Integrity Tracking: Every contribution is logged. Our platform tracks who is genuinely putting in the work, so recognition—including co-authorship—is based on real input, not favouritism.
Why it matters
I’ve been a student desperately hunting for work that matters. I’ve also heard professors complain they can’t find consistent helpers. Inquiro bridges that gap—making research accessible, fair, and, honestly, way more exciting.
Students get exposure, stronger resumes, and the confidence to tackle bigger challenges. Faculty gain reliable assistants, resulting in faster progress and increased publications. The university grows a vibrant research culture—and becomes known as the place where research actually happens.
So, if you had Inquiro tomorrow, what’s the very first feature you’d want?
Comments
The idea is to capture contribution metadata (commits, document edits, updates) that’s already public in collaborative work — and translate it into a fairness layer, not a monitoring one. Still, your point stands: psychological safety matters, and we’ll co-design this feature with feedback from both sides before deployment.
That’ll let us refine the workflows, data models, and trust mechanisms before even thinking about full-campus scale. Depth before reach is the motto here.
Each project will have clearly defined deliverables and an optional mentor review rubric, so the outcome quality stays consistent. The time constraint actually encourages focus and iteration, not random wandering.
This is a really well made concept addressing a prominent but subtle issue, and I hope to see progress in this.
That’s why our goal isn’t to make another app people forget about, but to embed Inquiro into existing academic life — course portals, research orientation programs, even credit-linked research internships. Once it integrates with how the university already functions, usage becomes habit, not obligation.
Unlike static boards, Inquiro’s value lies in dynamic matchmaking and feedback loops — the AI learns which collaborations actually led to outcomes and refines future matches accordingly. It’s a living system, not a noticeboard.
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