Adaptive Trust Scoring in Decentralized Identity Systems Using Generative AI for Digital Marksheet Verification in Education

Can We Trust Digital Marksheets? Meet Adaptive Trust Scoring with Generative AI and Blockchain.

     In a world full of digital degrees and online credentials, one big question remains: Can we trust what we see? Let’s explore how Generative AI and Decentralized Identity are working together to solve this problem in education.

The Big Problem with Digital Credentials

As students shift to online learning and digital degrees, marksheets are now being issued in electronic formats. While this saves time and paper, it brings a serious challenge: How do we verify if a digital marksheet is real or fake?

Fake degrees are flooding the internet. Traditional systems are slow, centralized, and easy to hack or manipulate [1]. That’s where blockchain, SSI (Self-Sovereign Identity), and AI come in.

What is Decentralized Identity (DID) and SSI?

Imagine your student ID, marksheet, or certificate stored in a secure app on your phone. You own it. You control who sees it. This is the power of Self-Sovereign Identity (SSI) [2].

Here’s how it works:

  • A university issues a Verifiable Credential (VC) (a digital marksheet).
  • The student stores it in an SSI Wallet (e.g., Trinsic or Bloom).
  • When needed, the student shares it with institutions or employers.


Now comes the tricky part: How can others trust this digital document?

Why Trust Still Matters

Even with blockchain-based credentials, trust is not automatic. Institutions still ask:

  • Is the university legitimate?
  • Has this document been altered?
  • Is the data consistent and up-to-date?

Currently, there is no smart system that automatically rates the trustworthiness of a digital credential.

Enter Adaptive Trust Scoring with Generative AI

We propose a game-changing solution: Adaptive Trust Scoring using Generative AI.

Imagine an AI model that:

Reads your digital marksheet, Checks the issuing authority and document format.

Compares it with verified historical data, Calculates a real-time trust score (like 87% trustworthy)

The result? Institutions and recruiters get instant, intelligent, and data-driven decisions—without needing to verify manually.

Research shows that Generative AI like GPT-4 or BERT can detect patterns, anomalies, and inconsistencies far better than traditional tools [4].

How the System Works

Step-by-step:

1. 🎓 University issues a digital marksheet (VC) using blockchain and DIDs [3].

2. 📲 Student saves it in their SSI wallet.

3. ⚙️ Generative AI engine reads the marksheet and issuer info.

4. 📊 It analyzes metadata, compares it to trusted data, and flags anomalies.

5. 🔐 A trust score is generated (e.g., 91%)—all in seconds!

🔗 Why Blockchain Matters

Blockchain ensures:

🔒 Tamper-proof data

👀 Public verifiability

🧩 No central control

Blockchain tools like Ethereum, Polygon, and Hyperledger Indy are used in many global SSI systems [5].

Tech Stack: What Powers This System?

Component Technology

Blockchain Ethereum, Polygon, Hyperledger Indy
Identity Wallets Trinsic, Bloom, Evernym
Credential Format W3C Verifiable Credentials [6]
AI Models GPT-4, BERT, LLaMA
Dev Languages Python, Node.js, Solidity


📍 Real-Life Applications

🏛️ University Admissions – Validate marksheets automatically

🌍 Global Education – Cross-border document trust without delay

👔 Recruitment – Verify job applicants' degrees in seconds

🧑‍🎓 Online Learning – Authenticate third-party course certificates.



Benefits At A Glance

🚀 Instant trust scores

🛡️ Reduced fake certificate fraud

🔒 Privacy-first (student-controlled data)

🧠 AI that learns from new patterns

🌐 Works across global education systems


🧭 What’s Next?

Looking ahead, this system could:

Integrate with Digilocker and national ID systems

Add biometric checks for extra trust

Provide open APIs for institutions

Support multi-language and cross-border verifications.


References

1. IEEE Access, “Digital Credential Fraud in Education”, 2021

2. Wang, H. et al., “Decentralized Identity Architecture”, IEEE Internet Computing, 2022

3. Sovrin Foundation, “Self-Sovereign Identity Framework Whitepaper”

4. Brown, T. et al., “Generative AI for Trust Analytics”, arXiv:2304.09999

5. Chen, Y. et al., “Blockchain-based Credential Verification with Trust Evaluation”, ACM, 2020

6. W3C, “Verifiable Credentials Data Model 1.1” – https://www.w3.org/TR/vc-data-model/

7. Kumar, A. et al., “AI-Powered Fake Certificate Detection Using Machine Learning”, IJCAI, 2021


Final Thoughts

The future of education lies in smart, secure, and self-owned credentials. By combining blockchain technology, decentralized identity, and Generative AI, we can ensure instant, intelligent, and reliable trust in the world of digital education.

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