Pattern Recognizer TS 🧠

Advanced pattern recognition engine using neural networks and NLP for tarot readings and esoteric analysis.

Features

• Neural Network Analysis: Uses brain.js for pattern detection
• NLP Processing: Natural language processing with tokenization and stemming
• Tarot Pattern Recognition: Identify patterns in card spreads and readings
• Symbolic Analysis: Detect esoteric symbols and their relationships
• Context-Aware Learning: Adapts to different analysis contexts
• Text Pattern Detection: Analyze written content for occult patterns

Installation

npm install pattern-recognizer-ts

Usage

import { PatternRecognizer, analyzeTarotPatterns } from 'pattern-recognizer-ts';

// Create a pattern recognizer
const recognizer = new PatternRecognizer();

// Train on pattern data (optional)
const trainingData = [
  { input: [0.1, 0.2, 0.3], output: [0.8, 0.2], label: 'love' },
  { input: [0.4, 0.5, 0.6], output: [0.1, 0.9], label: 'conflict' }
];
recognizer.train(trainingData);

// Analyze a tarot reading
const reading = {
  cards: ['The Lovers', 'Two of Cups', 'Ace of Cups'],
  question: 'Will I find true love?',
  context: 'Relationship reading'
};

const patterns = recognizer.analyzeTarotReading(reading);
console.log(patterns);
// [{
//   pattern: 'love',
//   confidence: 0.85,
//   interpretation: 'Strong romantic themes present',
//   relatedSymbols: ['hearts', 'venus', 'union']
// }]

// Quick analysis function
const quickPatterns = analyzeTarotPatterns(reading);

// Analyze text for patterns
const textPatterns = recognizer.recognizeTextPatterns(
  'The moon represents intuition and the subconscious',
  'spiritual'
);

// Detect symbolic patterns in cards
const symbolicPatterns = recognizer.detectSymbolicPatterns([
  'The Moon', 'The High Priestess', 'Ace of Cups'
]);

API Reference

PatternRecognizer

Main class for pattern recognition.

Methods

• train(patterns) - Train the neural network
• analyzeTarotReading(reading) - Analyze tarot reading patterns
• recognizeTextPatterns(text, context) - Detect patterns in text
• detectSymbolicPatterns(cards) - Find symbolic patterns in cards
• learnFromSuccess(pattern, context) - Learn from successful recognitions

Data Types

interface PatternData {
  input: number[];
  output: number[];
  label?: string;
}

interface TarotReading {
  cards: string[];
  question: string;
  context: string;
}

interface PatternResult {
  pattern: string;
  confidence: number;
  interpretation: string;
  relatedSymbols: string[];
}

Dependencies

• brain.js - Neural network processing
• natural - Natural language processing

Training Data

The engine works best with domain-specific training data. For tarot applications, train with:

• Card combination patterns
• Question type analysis
• Symbolic relationship data
• Historical reading outcomes

License

MIT