Prediction market powered by AI analytics and news aggregator with tinder based UI.
PrediX is a consumer-focused prediction market built on the Chiliz ecosystem, designed specifically for sports fans. The platform aggregates real-time sports data and enables users to make predictions instantly, without requiring any KYC or complex onboarding.
PrediX aims to deliver an accessible and intuitive prediction experience for everyday fans. A swipe-based, Tinder-style interface makes interacting with predictions simple and fun, while integrated AI models analyze live sports data and news sources to provide smarter insights.
PrediX's wallet connection and onboarding are handled through RainbowKit, providing a fast and user-friendly login flow. For sports insights, I use AI-driven scrapers and olama models to aggregate news, analyze signals, and generate prediction suggestions. The frontend is developed with Next.js for a smooth, responsive swipe-based interface. All structured data, predictions, insights, and event details are stored and streamed through Supabase.

