🧠 Empathic Therapy AI
🌟 Overview
Empathic Therapy AI is an advanced NLP-based project focused on training AI models to think and respond in an empathetic, human-like manner. The system generates structured therapeutic responses based on various established methodologies, fostering deep understanding, active listening, and compassionate communication.
Click here to visit the website with information about the original chat-data Please note that the data used in this repository has been modified by me to better suit my project's modifications one can see here
🔹 Current Stage: Expanding the training dataset to refine AI responses.🔹 Future Goal: Developing a full-fledged Psychological AI based on this project.
🏗️ Methodologies
This project incorporates multiple therapy techniques to ensure AI interactions are aligned with ethical and professional standards:
🔹 Open-ended Questioning
🔹 Restatement & Paraphrasing
🔹 Reflection of Feelings
🔹 Self-Disclosure (when appropriate)
🔹 Affirmation & Reassurance
🔹 Providing Suggestions (collaborative & non-prescriptive)
🔹 Psychoeducation (Providing Information)
🔹 General Empathy & Validation
🔹 Cognitive Behavioral Therapy (CBT)
🔹 Mindfulness & Relaxation Techniques
🔹 Solution-Focused Brief Therapy (SFBT)
🔹 Motivational Interviewing (MI)
🔹 Acceptance and Commitment Therapy (ACT)
🔹 Dialectical Behavior Therapy (DBT)
🔧 How It Works
Using structured prompt templates, the AI generates psychologically informed responses tailored to user input. Each response follows ethical guidelines and best practices in therapy, ensuring:
✔️ Empathy & Validation ✔️ Non-Judgmental & Open-Minded Approach ✔️ Collaborative & Supportive Dialogue ✔️ Ethically Sound AI-Powered Assistance
📊 Expanding the Dataset with AI
To enhance the AI’s understanding and response capabilities, I leverage existing therapy datasets and augment them using AI-powered data generation. This process includes:
Cleaning & Normalizing Data: Removing unwanted characters, standardizing language, and preserving important text elements.
Tokenization & Lemmatization: Breaking down sentences while retaining key pronouns and therapeutic phrases.
Embedding-Based Similarity Checks: Using AI-powered embeddings to assess and refine responses based on contextual relevance.
Conversational Context Building: Structuring previous interactions to maintain continuity and coherence in multi-turn conversations.
AI-Augmented Response Generation: Utilizing advanced language models to create meaningful, diverse therapeutic responses across different methodologies.
Parallel Processing & Optimization: Implementing multiprocessing to efficiently handle large datasets while maintaining response quality.
This AI-driven expansion ensures a rich, diverse, and contextually accurate dataset, enabling the model to provide more natural, insightful, and empathetic responses.
🚀 Future Vision
This project lays the foundation for a next-generation Psychological AI, capable of providing supportive, structured, and human-like interactions. By integrating empathetic AI thinking into psychological responses, this system will:
💡 Improve AI's ability to understand complex human emotions 💡 Support mental health professionals with AI-assisted insights 💡 Ensure AI responses are ethical, safe, and constructive
🤝 Contributing
I welcome contributions from AI enthusiasts, mental health professionals, and developers. Feel free to:
Submit ideas, issues, or improvements via GitHub Issues
Enhance existing methodologies and datasets
Collaborate on AI model training and ethical guidelines
📜 License
This project is licensed under the MIT License – feel free to use and expand upon it! (License will be changed as soon as I get access to the real professional data)
🔗 Stay Updated: Follow for updates as I am going to transition from dataset expansion to Psychological AI development! 🚀