Describe yourself in plain language — field, GPA, target countries — and the advisor will reveal funded professors and scholarships, draft batch outreach you can send, and pull up the in-progress application portfolio. No sign-in. No data stored.
Live AI + sample shortlist. The advisor is the real ScholarMatch model. The 7-match shortlist on the right is a fixed sample so the demo behaves the same for every evaluator — the production engine ranks against 2,000+ real funded outcomes since 2018.
Tell it about you — the workspace on the right fills in as you go.
Cards highlight as the advisor cites them in chat. Click any to see the full reasoning.
Why: Recent paper on on-device language models overlaps directly with your interest in edge ML.
Why: Your CGPA, English score and edge-ML focus map cleanly onto the BDMA admit profile.
Why: Active Mitacs Globalink supervisor; hired 2 international MSc students from South Asia in 2024.
Why: Stipendium Hungaricum host; co-authored with three South-Asian students in the last 24 months.
Why: Stretch match. Strong academic profile; needs one publication or signature project to clear the bar.
Why: Multilingual NLP lab; actively recruits funded MSc from your region.
Why: International-friendly funded MSc track in CS; profile fits last cohort's admits.
Every outreach lives in one board. Move it forward as professors reply.
Each card represents a real outreach — never a bulk blast. Move cards forward as professors reply.
Sign up free — the advisor, matches, outreach and document portfolio all become yours.