HYGIEIA

HYGIEIA: Empowering stroke prevention with AI-driven predictions and personalized health insights.

Comment

HYGIEIA – AI-Powered Mental Health & Emotional Support Assistant

Inspiration

Mental health is a crucial aspect of well-being, yet access to timely support remains a challenge for many. We wanted to create an AI-powered solution that provides empathetic, structured, and meaningful emotional support, helping users cope with stress, anxiety, and other mental health concerns in a private and accessible way.

What it does

HYGIEIA is an AI-driven chatbot that:

  • Analyzes user inputs using natural language processing (NLP) and sentiment analysis
  • Provides personalized mental health guidance based on the detected emotions
  • Offers structured responses and suggestions for stress relief, anxiety management, and overall well-being
  • Features a visually appealing and engaging UI with smooth typing animations
  • Ensures data privacy and security with environment variable handling

How we built it

  • Backend: Built with FastAPI for handling chatbot requests and integrating the Gemini API for intelligent responses
  • Frontend: Developed using HTML, CSS, and JavaScript with an emphasis on responsiveness and smooth animations
  • AI Integration: Leveraged Gemini API for generating personalized mental health responses
  • Security: Used dotenv to securely store API keys and prevent exposure in public repositories
  • Deployment & Version Control: Managed with Git and GitHub for efficient collaboration

Challenges we ran into

  • Fine-tuning AI responses to be structured and empathetic rather than generic
  • Designing an engaging and visually soothing UI that enhances user experience
  • Ensuring seamless API integration while maintaining fast response times
  • Implementing secure environment variable management to protect API keys

Accomplishments that we're proud of

  • Successfully developed a chatbot that provides relevant and meaningful mental health support
  • Created a responsive and visually appealing UI with animations that enhance user interaction
  • Integrated AI-driven sentiment analysis to tailor responses based on user emotions
  • Ensured data security and privacy while handling sensitive user inputs

What we learned

  • The importance of AI-driven emotional intelligence in chatbot development
  • How to improve user experience through UI/UX enhancements and animations
  • Best practices for FastAPI and API integration
  • Effective environment variable management for security in AI projects

What's next for HYGIEIA

  • Expanding the AI model to recognize a broader range of emotions
  • Enhancing personalization by incorporating user history-based responses
  • Integrating voice input and response capabilities for a more interactive experience
  • Developing a mobile-friendly version for easier accessibility
  • Collaborating with mental health professionals to refine the chatbot's guidance

Built With

Share this project:

Updates