XRP marble AI - Conductor and RAISE Track
This hackathon project presents an interactive web application built with React and Tremor for visualizations, which taps into XRPSCAN’s public REST APIs to fetch network statistics (/statistics/metrics) and recent ledger summaries (/ledgers). It displays key performance indicators such as active accounts, total transactions, ledger throughput, and transaction-per-ledger trends. On the AI side, the app integrates Groq and LLaMA model (via the groq-sdk) to analyze aggregated ledger data and produce human-readable market sentiment summaries, identify whale behaviors, and recommend entry/exit points with risk management strategies. A “Live Demo” mode showcases data refresh, interactive charts, and collapsible AI insights—all in a clean, responsive dashboard—making it an ideal proof-of-concept for traders seeking data-driven XRP trading advice.
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For Innovators & Creators