AI-Powered Mental Health Analysis

Multimodal AI Framework for Mental Health Detection

Leveraging social media data and advanced AI to detect mental health disorders early, enabling timely intervention and personalized wellbeing insights.

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Comprehensive Mental Health Analysis

Our AI framework combines multiple analysis methods to provide accurate mental health insights

Text Analysis

Detect mental health issues from textual inputs with advanced NLP

Image & Video Analysis

Extract insights from visual content using computer vision

PDF Processing

Convert and analyze typed or handwritten texts

Social Media Analysis

Analyze posts from Reddit and Twitter for mental health indicators

User response to Image

Digital implementation of psychological image interpretation

Multilingual Support

Analyze content across multiple languages

Wellbeing Mapping

Use Ryff's Scale to assess psychological wellbeing

Model Retraining

Continuously improve with new data

Wellbeing Survey

Complete assessment based on Ryff's Scale

Industry-Leading Model Performance

Our ensemble model achieves exceptional accuracy through combined machine learning approaches

Ensemble Model Performance

Stratified K-Fold CV98.03%

Hierarchical Model Performance

Large Dataset Accuracy96.25%