This project aims to develop an AI-controlled mental health and counselling application to provide users with accessible mental health support. The application will leverage AI algorithms to offer personalized counselling sessions, mental health assessments, and self-help resources.
- Personalized AI counselling sessions
- Mental health assessments and progress tracking
- Self-help resources and exercises
- Emergency contact and support links
The system integrates AI-driven algorithms with a user-friendly interface. It will be hosted on a cloud server to ensure scalability and accessibility. The architecture includes:
- User Interface: Web and mobile applications
- Backend: AI algorithms and data processing
- Database: Secure storage for user data
- APIs: Integration with third-party services
Energy conversion processes within the app involve real-time data analysis, natural language processing for user interactions, and machine learning models for personalized recommendations.
- Identity Crisis: Doubts about abilities and self-worth, causing lack of confidence and fear of failure.
- Isolation: Digital connectivity contrasts with real-life loneliness, increasing depression risk.
- Trauma: Experiencing abuse, violence, or loss heightens depression risk, especially in youth.
- Physical Health: Depression can worsen medical conditions and weaken immunity.
- Interpersonal Challenges: Strained relationships due to mood changes and social withdrawal.
- Emotional Numbness: Difficulty connecting with emotions.