Inspiration

We kept asking a simple question: why is trust still manual in a digital world?

Resumes can be faked. Sustainability claims can be exaggerated. Impact reports can be edited.

In a world where AI can recognize faces, detect diseases, and drive cars, we still rely on self-reported proof for the most important things — skills, impact, and integrity.

VERIXA was inspired by this gap. We imagined a future where actions speak louder than documents, where AI verifies reality, and where blockchain preserves truth. Not another app — but a trust infrastructure for the digital age.

What it does

VERIXA is an AI + Blockchain platform that verifies real-world actions and converts them into immutable digital proof.

Users submit actions such as completing a skill task or demonstrating a sustainability activity. AI models verify the authenticity and confidence of the action. Once verified, the proof is recorded on blockchain as an Impact NFT, contributing to a dynamic Impact Score that expires and revalidates over time.

If AI can’t verify it, VERIXA doesn’t record it.

How we built it

We designed VERIXA as a modular, scalable platform:

  • Frontend: React-based interface with a clean, trust-focused UX
  • Backend: Python + FastAPI for verification workflows
  • AI Layer: Computer vision and evaluation models for action verification
  • Blockchain: Smart contracts on testnet to mint Impact NFTs
  • Storage: IPFS for immutable metadata
  • Cloud: Deployed using scalable cloud infrastructure

Every component was built with startup-readiness and clarity in mind.

Challenges we ran into

  • Designing AI verification that feels credible, not gimmicky
  • Balancing technical depth with a simple demo judges could instantly understand
  • Connecting AI outputs meaningfully to blockchain proofs
  • Creating a system that avoids one-time “proof farming” by introducing expiry and revalidation

Each challenge pushed us to simplify without losing substance.

Accomplishments that we’re proud of

  • Built a functional end-to-end verification flow
  • Successfully linked AI confidence scores to on-chain proof
  • Designed a dynamic Impact Score instead of static credentials
  • Created a demo that clearly shows real-world scalability
  • Delivered a product that feels like a startup, not a prototype

What we learned

  • Trust systems must be transparent, not complex
  • AI is most powerful when it verifies, not just generates
  • Blockchain works best when it records facts, not opinions
  • Judges and users value clarity of impact over feature overload

Most importantly, we learned that verification is the missing layer of the digital world.

What’s next for VERIXA

  • Expand verification modules for ESG, education, and government use cases
  • Introduce DAO based governance for validation standards
  • Launch APIs for enterprises and institutions
  • Integrate real-time data sources and IoT inputs
  • Move toward mainnet deployment and pilot partnerships

VERIXA aims to become the default trust layer for real-world impact.

Built With

  • beautifulsoup-github-actions
  • elasticsearch-google-cloud-platform
  • firebase-hosting-openai-api-(for-ai-chatbot)
  • flask-tensorflow
  • google-maps
  • javascript
  • python
  • pytoch
  • pytorch-firebase
  • redis
  • twilio-(for-notifications)-selenium
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