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counterfeit-detection

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K-means clustering analysis of banknote dimensions for counterfeit detection. Using standardised length and diagonal measurements, the model successfully identifies three distinct clusters, with one clearly representing counterfeit bills based on their dimensional anomalies.

  • Updated Apr 24, 2025
  • Jupyter Notebook

AI Digital Public Safety Intelligence (PS6): detects digital-arrest scams in 4 languages, clusters fraud networks into auditable court-ready leads, maps hotspots, and flags counterfeit notes. Advisory-only, human-in-the-loop, synthetic-data prototype.

  • Updated Jun 26, 2026
  • TypeScript

Full-stack DApp for pharmaceutical supply chain tracking using Ethereum smart contracts. QR code verification, anomaly detection, role-based dashboards. Built with React, Node.js, Solidity, MongoDB & MetaMask.

  • Updated Jun 17, 2026
  • JavaScript

AgriGuard is an agricultural intelligence system designed to improve food security in Uganda by forecasting crop prices, detecting counterfeit seeds and agro-inputs, and providing market risk insights. It supports farmers and government with data-driven decisions to increase productivity, income stability, and market transparency.

  • Updated Jun 22, 2026
  • Python

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