AI-supported matchmaking system using semantic deep profiling and resonance analysis

Abstract

Computer-implemented system for facilitating interpersonal connections using artificial intelligence, characterized in that the system consists of an input interface for receiving free, natural language inputs from users, a language processing module with a large-language AI model for the semantic analysis of the inputs, a profiling module for deriving individual psychological-emotional characteristics from the analyzed text data, a matching module for determining resonance matches, and an output unit for interaction with the user.

Description

1. Technical area

[0001] The invention relates to the field of data-processed matchmaking using artificial intelligence (Kl), in particular to a method and system for generating, evaluating and linking personality profiles for matching emotionally compatible relationship partners. 2. State of the art

[0002] Existing online dating systems rely on static questionnaires, visual profile content, and algorithmically simplified filtering logic. Users' emotional depth, commitment expectations, and linguistically expressed self-images remain unconsidered. A system that uses natural language input to generate psychologically relevant profiles and establish genuine resonance between people is lacking. 3. Object of the invention

[0003] The aim of the invention is to provide a method based on freely formulated speech input and to create a personality profile through AI-supported dialogues. This profile is to be converted into a multidimensional compatibility model that suggests emotionally relevant contacts. The invention is also intended to integrate social content and ensure ethical standards. 4. Solution to the task

[0004] The invention is achieved by a system comprising the following steps: 4.1 Dialogue module: A classroom-based interview with free text input. 4.2 Analysis module: NLP-based evaluation to generate a personality profile based on tone, topics, sentence structure and emotional expression. 4.3 Resonance model: Mathematical classification of the profiles into a relationship compatibility model (vector space model, deep learning class formation, etc.). 4.4 Matching module: Identification of compatible user profiles through semantic matching or complementary logic. 4.5 Visualization: Provision of contact suggestions in a protected, non-visually dominated environment. 4.6 Additional modules: Optional integration of social media data, KL-Coach for conversation support, mindfulness prompts, and psychological safety systems. 4.7 Security: GDPR-compliant data handling, user information, transparent algorithm structure. 5. Advantages of the invention - Greater emotional authenticity in matchmaking - User self-image is created through free speech, not through rating systems - Ethically guided communication instead of addiction mechanics - Integration of existing data (with consent) - Expandability for therapeutic, spiritual or counseling applications 6. Application examples - Platform soulmatch.ai as main application - API integration into existing social networks - Use in therapeutic or spiritual relationship search - Tools for self-reflection, partner explanation or for digital coaches 7. Technical description

[0005] The invention relates to a computer-based system for facilitating interpersonal connections using artificial intelligence. The platform analyzes users' freely formulated speech inputs, interprets them using language models, and derives individual emotional resonance patterns. Based on this, a semantic matching with other users takes place, focusing primarily on deeper personality traits rather than external characteristics. The goal is an authentic, ethically sound matching experience with potential extensions for coaching, therapy, and HR contexts.

Claims

[1] Computer-implemented system for facilitating interpersonal connections using artificial intelligence, characterized by that the system consists of an input interface for recording free, natural language inputs from users, a language processing module with a large-language AI model for the semantic analysis of the inputs, a profiling module for deriving individual psychological-emotional characteristics from the analyzed text data, a matching module for determining resonance matches, and an output unit for interaction with the user. [2] System according to claim 1, characterized by that the entries are stored anonymously and processed in compliance with data protection regulations. [3] System according to claim 1 or 2, characterized by that external user data from social networks can be integrated using the OAuth interface. [4] System according to one of the preceding claims, characterized bythat an interactive KL coach uses a language model to provide feedback, questions and psychological impulses. [5] System according to one of the preceding claims, characterized by that the matching module uses semantic-emotional similarity metrics. [6] System according to one of the preceding claims, characterized by that the system can be expanded modularly for applications in coaching, psychotherapy, team building or human resources.