The AI-Powered Mental Health Companion is an open-source project aimed at providing accessible mental health support through artificial intelligence. This application utilizes advanced language models to offer empathetic responses and provide resources tailored to users' emotional needs.

Mental health issues, such as anxiety and depression, affect millions worldwide. Many individuals face barriers in accessing immediate support or may feel hesitant to seek professional help due to stigma or cost constraints. This project seeks to bridge this gap by offering a supportive companion that can be accessed anytime and anywhere.

The AI-Powered Mental Health Companion offers the following features:

• Emotional Support: Users can express their feelings, and the AI responds with empathetic and supportive messages.
• Resource Recommendations: Links to articles, podcasts, and videos related to mental health based on user interests.
• Daily Check-ins: Regular prompts to check users' emotional well-being and provide relevant advice.

• Language Model : Utilizes GPT-3 or similar for natural language understanding and generation.
• Backend : Node.js with Express.js for handling user interactions and data management.
• Frontend : Flutter for building cross-platform mobile applications with a responsive and intuitive user interface.
• Database : PostgreSQL for storing user profiles and interaction histories.
• Deployment : Docker and Docker Compose for containerization and deployment orchestration.

• Implement basic user authentication and profile management using Express.js.
• Integrate language model for basic emotional support responses.

• Enhance AI responses with sentiment analysis and context awareness.
• Implement daily check-ins and personalized activity recommendations.
• Introduce resource recommendations based on user preferences and behavior.

• Optimize performance and scalability for increased user base.
• Deploy backend using Docker containers for easy deployment and maintenance.
• Implement continuous integration and automated testing for both backend and Flutter frontend.