Coinlive reporting at the “Web3 Trends & Opportunities” event in Singapore in which Coinlive plays host to our very first grand-scale summit! NUS student Han Wei Lun, an aspiring data scientist with a deep interest in building products and infrastructure, concluded the project-pitching session with the topic on “Fraud Detection in Cryptocurrency: Navigating our way in the blockchain world plagued with scams and fraud.” He expounds that one of the biggest problem of decentralisation is the absence of a central entity resulting in a lack of governing rule, which allows scammers in the space to do unlawful stuff. All in all, being the centerpoint to check the credibility of addresses is what he intends for his machine-learning model. To give a clearer illustration, he shares a live demo of the product: input a questionable address into the app then a prediction will be provided after passing through the machine-learning model ─ green indicates the wallet is non-fraudulent while red shows that it is potentially fraudulent.