Mental health is as vital as physical well-being, yet millions struggle with self-awareness, support accessibility, and stigma. Our AI-powered mental health monitoring system provides a comprehensive, interactive, and personalized approach to mental wellness, combining AI-driven insights, self-reflection tools, and community support.
Key Features
Asha (AI Chatbot) – An empathetic AI chatbot providing real-time emotional support, mood analysis, and guided reflections.
Mood Tracking & Journaling – A structured way to log emotions, recognize patterns, and improve self-awareness.
AI Art Therapy (Satrang) – AI-generated therapeutic artwork based on user emotions to promote creative self-expression.
Guided Mindfulness & Coping Strategies – Adaptive meditation, breathing exercises, and resilience-building challenges.
Community Hub – A safe, anonymous space for peer interaction, shared experiences, and moderated discussions.
Professional Support (Sahayak) – Connects users with licensed mental health professionals for additional help.
Technology Stack
Frontend: React.js / Flutter for an intuitive, cross-platform user experience.
Backend: FastAPI / Node.js for scalable data handling and AI processing.
AI & ML: PyTorch / TensorFlow for NLP-based chatbot, sentiment analysis, and personalized recommendations.
Database: PostgreSQL / Firebase for secure data storage.
Security & Privacy: AES-256 encryption and GDPR-compliant anonymization for data protection.
Vision for FOSS 2025
This project aligns with the FOSS (Free and Open-Source Software) ethos by ensuring mental health resources remain accessible, privacy-focused, and community-driven. We aim to:
Open-source key modules like mood tracking algorithms and self-help AI models for global contributions.
Enable offline access for users in low-connectivity regions.
Expand AI localization & multilingual support for wider adoption.
Integrate with FOSS-driven wellness platforms to maximize impact.