This Challenge was posted 2 weeks ago

 

FundingNavigator

Smart Matching for Social Funding in Switzerland

ZHAW Social Work

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The problem: A social worker in Zurich has a client in crisis. She opens a 120-page PDF, scrolls through 180 foundations, guesses which one might fit — and waits 3 months for a rejection. Wrong target group. Start over.

Foundations are drowning in mismatched applications. People in need are drowning in waiting time.

The solution: FundingNavigator asks 3 simple questions — Who are you? What do you need? How urgent is it? — and returns a ranked list of matching funding sources in seconds. Not just foundations: also crowdfunding, sharing economy, and public programs. One search, the full funding mix.

How it works — 4 real scenarios

  • 🔴 Case 1: Single mother, urgent dental bill (CHF 3,200) The system filters for foundations with rolling decisions (2–3 weeks), matches her profile as a Swiss citizen and single parent, and suggests a crowdfunding campaign for the remaining gap. Time saved: weeks.
  • 🟡 Case 2: Social worker needs education funding for a young refugee The client has permit B and partial scholarship funding. FundingNavigator filters out foundations that exclude non-Swiss applicants, finds those that explicitly welcome migrants, and flags that a supplementary scholarship request is possible. No more blind applications.
  • 🟢 Case 3: NGO seeking CHF 25,000 for a mentoring project The system builds a blended funding plan: foundation grant + crowdfunding + municipal integration credit. It checks submission deadlines against the project timeline. Strategic, not random.
  • 🟠 Case 4: Refugee family needs furniture + deposit for their first apartment FundingNavigator goes beyond cash: it finds free furniture on sharing platforms within 15km, connects to a Brockenhaus starter kit program, AND matches two foundations for the financial gap. The full spectrum.

What we build at the hackathon

  1. Structured dataset — 180 foundations extracted from the ZHAW PDF into searchable JSON
  2. Guided questionnaire — 3-step needs assessment
  3. RAG-based matching engine — ranked results with match scores
  4. Urgency filter — because when you're in crisis, 3 months vs. 3 weeks changes everything

Impact

Fewer rejected applications. Faster help for people in crisis. Less admin burden on foundations. And an architecture that scales to all 26 cantons.

Let's turn a PDF into a lifeline. 🧭

Data source: https://www.zhaw.ch/de/sozialearbeit/zuerich-sozial#c219512

All attendees, sponsors, partners, volunteers and staff at our hackathon are required to agree with the Hack Code of Conduct. Organisers will enforce this code throughout the event. We expect cooperation from all participants to ensure a safe environment for everybody.

The contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License. The application that powers this site is available under the MIT license.

MIT License — fork it, remix it, scale it to all 26 cantons.