Scorita | AI Football Prediction App

Description

Scorita | AI Football Prediction App

Scorita | AI Football Prediction App is a production-ready, cross-platform football prediction and match tracking application developed with React Native. It provides a shared mobile codebase for Android and iOS and uses Bun for package management and development workflows.

The application allows users to discover upcoming football matches, review AI-powered football picks, save favorite matches, create personalized match lists and access premium features through a modern and user-friendly interface.

Main Features

  • Cross-platform Android and iOS application
  • Developed with React Native
  • Shared mobile codebase
  • Bun package manager support
  • .NET Core REST API backend
  • Windows Server and IIS deployment support
  • Automatic match synchronization from a football API source
  • Configurable match import schedule
  • Firebase Cloud Messaging integration
  • Automatic push notifications to registered devices
  • Google AdMob integration
  • RevenueCat subscription integration
  • Premium user access management
  • Upcoming football match listings
  • Daily football predictions
  • AI-powered football picks
  • Detailed match and prediction screens
  • Prediction status tracking
  • Favorite match management
  • Custom match list creation
  • Automatic guest session creation
  • Guest account upgrade
  • User registration and login
  • Persistent user sessions
  • User profile management
  • Multilingual application structure
  • Loading, empty and error states
  • Network connection handling

Read Before Purchase!

    • All digital products have no possibility of free updates beyond the initial purchase. After payment, we will upload the product file within 24 hours to 48 hours.
    • If you have any questions, please contact us by email [email protected] or create a ticket on this page
    • After the purchase is confirmed, download links will be accessible for 7 days.
    • we have not responsible for supporting users.
    • The response time can last up to 6 hours.