Psypher: A Free and Open-Source Predictive Emotional Intelligence System for Early Identification of Psychological Distress
Psypher is a groundbreaking free and open-source project dedicated to revolutionizing mental health care. By harnessing the power of emotional intelligence (EI) and machine learning, Psypher proactively identifies individuals at risk of psychological distress, empowering them with early intervention and personalized support.
Key Features:
Real-Time Monitoring: Continuously assesses emotional states using text, voice, facial expressions, and physiological data (if available).
Personalized Insights: Delivers tailored recommendations to improve emotional well-being and build resilience.
Risk Prediction: Employs cutting-edge AI models to predict the likelihood of developing psychological distress.
Early Intervention: Provides guidance and resources for early intervention and support, connecting individuals with mental health professionals.
Customizable: Modular architecture allows for adaptation to various applications (healthcare, workplace, education, personal use).
Community-Driven: Built and maintained by a collaborative community of developers, researchers, and mental health advocates.
Technology Stack:
Machine Learning: State-of-the-art algorithms for emotion recognition and predictive modeling (e.g., BERT, LSTM, Random Forests).
Natural Language Processing (NLP): Text analysis for sentiment analysis and emotion extraction.
Signal Processing: If applicable, analysis of voice and physiological signals.
Data Privacy: Robust data anonymization and encryption techniques to ensure user confidentiality.
Getting Started:
Clone this repository: git clone https://github.com/shivaganesht/Psypher-An-Emotional-Intelligent-Bot
Explore the codebase and documentation to learn how to customize and deploy Psypher for your specific needs.
Contributing:
We warmly welcome contributions from everyone! Whether you're a developer, researcher, mental health professional, or simply passionate about improving mental well-being, your expertise is invaluable.