neurostate 0.0.1

Intelligent, AI-augmented predictive state management for modern Flutter applications.

NeuroState 🧠

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Intelligent, AI-augmented predictive state management for modern Flutter applications.

NeuroState brings AI-driven intelligence to traditional reactive state management.
Instead of only reacting to events, NeuroState can predict and adapt state transitions based on user behavior, context, or AI model inference.

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✨ Features :

• 🧠 AI-augmented predictive state updates
• ⚡ Reactive ChangeNotifier-based architecture
• 🔌 Pluggable predictor system (API, ML model, or rules)
• 📦 Lightweight and flexible
• 🔄 Works alongside existing state management solutions
• 🚀 Ideal for AI chat apps, recommendation engines, and adaptive UIs

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🏗️ Architecture :

User Event → NeuroPredictor → Smart State Update → UI Rebuild

      NeuroState introduces an intelligence layer on top of traditional state management.
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      ## 📦 Installation  
      Add to your `pubspec.yaml`:  
      ```yaml
        dependencies:
          neurostate: ^0.0.1
          
     Then run:
        flutter pub get

🚀 Quick Start :

1. Import Package

import 'package:neurostate/neurostate.dart';

2. Create a Predictor

   class MyPredictor implements NeuroPredictor {
       @override
       Future<Map<String, dynamic>> predict(
           String event, Map<String, dynamic> payload) async {
           if (event == "send_message") {
                return {"typing": true};
           }
                return {};
       }
   }

3. Initialize Controller

   final controller = NeuroController(
        predictor: MyPredictor(),
   );

4. Dispatch Events

   controller.dispatch("send_message", {"text": "Hello"});

5. Listen to State

   AnimatedBuilder(
   animation: controller,
       builder: (_, __) {
            return Text(controller.state.toString());
       },
   );

🧪 Example Use Cases :

- AI Chat Applications
- Smart recommendation dashboards
- Context-aware form validation
- Adaptive UX personalization
- Predictive data preloading

🔮 Roadmap :

- OpenAI / LLM predictor integration
- Riverpod & Bloc adapters
- WebSocket streaming state updates
- On-device ML model support
- Intelligent caching engine

🤝 Contributing

> Contributions, issues, and feature requests are welcome!
> Feel free to open a pull request or create an issue.