aiAI Crix·Full-Stack · Mobile, Backend & AI Model

AI Crix

AI Cricket Match Prediction Application

AI Crix is an ML-powered cricket application that analyzes match and historical data to deliver predictions and statistics in real time. The Flutter app is backed by Supabase and a Python/NumPy-based prediction model, giving cricket fans and analysts data-driven insights and a clear, responsive mobile experience.

AI Crix
Production
Timeline
India
Market
1
Team size
5+
Technologies

Product gallery

In the app

Key screens from AI Crix showing the core user experience.

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The challenge

What we set out to solve

Cricket fans and analysts needed a reliable way to get data-driven match predictions.

The challenge was to build an ML-powered system that processes historical cricket statistics and surfaces predictions in a fast, real-time mobile experience.

Our approach

How we delivered

  • Flutter mobile app with scalable architecture and optimized UI for live results.
  • Supabase integration for authentication, database, and real-time sync.
  • Machine learning prediction model using Python and NumPy for cricket statistics.
  • APIs connecting the AI model outputs to the Flutter application.
  • Match statistics visualization and prediction history for users.
  • Optimized data fetching and UI updates for real-time prediction delivery.

Summary

AI Crix delivered ML-driven cricket predictions in a user-friendly mobile experience, with real-time synchronization and clear statistics visualization, enabling users to access data-backed match insights on the go.

The combination of Flutter, Supabase, and the custom ML model made AI Crix both powerful and easy to use. Predictions feel grounded in real data.

AI Crix Team

Product

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