Building an AI Dream Analysis Engine, Part 1: Designing the NLP Pipeline

Dreamslytic is building an AI-powered dream analysis engine that goes beyond traditional dream dictionaries by analyzing full narratives, emotions, and context rather than matching individual symbols to fixed meanings. The first stage covers designing the NLP pipeline, including text preprocessing, input validation, tokenization, and symbol detection. The system uses GPT-4.1, PostgreSQL, and vector databases to build structured interpretations with confidence scores, not predictions. Part 2 will add emotion detection, RAG, and hallucination reduction.