The latest articles on DEV Community by Rakesh kumar (@rakesh_kumar_021e3d407331). https://dev.to/rakesh_kumar_021e3d407331 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3885174%2Feef6b896-f528-49ec-af17-afc94ef9d677.png https://dev.to/rakesh_kumar_021e3d407331 en Rakesh kumar Fri, 17 Apr 2026 21:09:02 +0000 https://dev.to/rakesh_kumar_021e3d407331/building-an-ai-powered-crypto-sentiment-trading-dashboard-2mlo https://dev.to/rakesh_kumar_021e3d407331/building-an-ai-powered-crypto-sentiment-trading-dashboard-2mlo <p>I'm excited to share my latest project: an <strong>AI-Driven Trading Dashboard</strong>. </p> <p>The goal is to help traders make sense of market noise by combining real-time price data with <strong>Natural Language Processing (NLP)</strong> to analyze market sentiment.</p> <h3> 🧠 The AI Component </h3> <p>I'm using a <strong>Sentiment Analysis model</strong> (via HuggingFace) to scan news headlines and social media feeds. The app then generates a "Market Mood" score (Bullish/Bearish) that updates alongside live price charts.</p> <h3> 🛠️ The Tech Stack </h3> <ul> <li> <strong>Frontend:</strong> React with Tailwind CSS for a sleek, dark-mode terminal UI.</li> <li> <strong>Backend:</strong> Fast API (Python) to handle the AI inference.</li> <li> <strong>Data:</strong> Integration with the Binance or Alpha Vantage API for live market data.</li> </ul> <h3> 🚀 What's Next? </h3> <p>Currently, I'm working on a "Backtesting" feature where users can see how the AI sentiment would have performed against historical price movements.</p> <p><strong>I'd love to hear from anyone working in FinTech—what's the biggest challenge when scaling real-time AI models?</strong></p> ai webdev python web3