Inspiration

For many vulnerable families, misinformation is not just confusing—it directly affects access to food, education, and safety. A single rumor in a WhatsApp group (“the food bank closed today” or “school is shutting down now”) can spread faster than official updates. Our specific user is a parent who receives a sudden, stressful local rumor and needs immediate clarity and trusted next steps. Most fact‑checking tools stop at “true or false,” but families under pressure need something more actionable. This inspired us to build NomaeTrust, a platform that transforms confusion into clarity by verifying local claims and guiding users toward real‑world support.

What it does

NomaeTrust evaluates local rumors and turns them into clear, multilingual Action Cards. Users submit screenshots, voice notes, images, or text. The AI extracts the core claim, retrieves credible local sources, classifies what is verified vs. uncertain, and generates a plain‑language Action Card with next steps. When confidence is low, the claim is routed to a human validator before anything is marked as verified. Each Action Card includes trusted‑source citations, confidence indicators, and simple explanations that help families make informed decisions during stressful moments.

How we built it

We built NomaeTrust with a React + TypeScript frontend and a Node.js + Express backend. OpenAI models handle speech‑to‑text, claim extraction, summarization, and multilingual Action Card generation. A retrieval pipeline gathers relevant evidence, while a human validation queue allows trusted community reviewers to approve or correct AI outputs before they reach users. The system is designed around a responsible AI workflow that blends automation with human oversight.

Challenges we ran into

Our biggest challenge was balancing speed with trust. Families need answers quickly, but misinformation about schools or food assistance can cause real harm if misclassified. We designed a hybrid workflow that keeps humans involved in critical decisions without slowing down urgent guidance. Another challenge was supporting multimodal inputs—voice, screenshots, and text—while ensuring the final Action Cards remained simple and accessible.

Accomplishments we’re proud of

We’re proud that NomaeTrust goes beyond traditional fact‑checking. It doesn’t just say whether something is true—it tells people what to do next. Our multimodal AI pipeline, human validation layer, multilingual support, confidence indicators, and transparent citations work together to create trustworthy, shareable Action Cards that families can rely on.

What we learned

We learned that responsible AI is about more than accuracy—it’s about transparency, accountability, and user trust. The most effective systems support human decision‑making rather than replacing it. We also gained experience designing AI workflows that prioritize accessibility, explainability, and real‑world impact for communities under stress.

What’s next for NomaeTrust

Next, we plan to expand NomaeTrust to more regions and languages, strengthen our evidence retrieval system, and partner with schools, libraries, and nonprofits. We aim to build community‑specific validation networks and integrate automated rumor clustering to detect emerging misinformation patterns in real time.

Built With

  • css
  • cursor
  • discord-api
  • discord.js
  • exifr
  • express-4
  • faceforensics++
  • ffmpeg-static
  • git
  • google-fact-check-tools-api
  • gpt-4o-mini
  • hive-ai
  • html
  • javascript
  • jspdf
  • multer
  • node.js
  • npm
  • openai-whisper
  • openstreetmap
  • react-19
  • react-leaflet
  • react-router-7
  • sdfvd
  • serpapi
  • tailwind-css-4
  • typescript
  • vercel
  • vite-6
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