Project Info
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Inspiration
Mental health support is often inaccessible, expensive, or stigmatized. We were inspired to create a safe, private space where individuals can process emotions, track mental wellness patterns, and access personalized AI therapy support 24/7. Solarii bridges the gap between traditional journaling and professional mental health resources.
What it does
Solarii is an intelligent mental wellness platform that combines emotional journaling with AI-powered therapeutic support. Users can: Journal with emotion tracking - Write entries and tag emotional states for pattern recognition Access 4 specialized AI therapists - Each with unique therapeutic approaches (CBT, mindfulness, holistic wellness, peer support) Visualize emotional patterns - Interactive emotional mapping and trend analysis Generate AI reflections - Personalized insights based on journal entries Voice-to-text journaling - Seamless audio transcription for accessibility
How we built it
Frontend: Next.js 14 with TypeScript, Tailwind CSS, and shadcn/ui components for a responsive, accessible interface AI Integration: Multi-provider approach using: Google Gemini Pro for CBT therapy responses Groq Llama-3.1-70B for mindfulness coaching Vetti AI for peer support conversations Claude for holistic wellness guidance Backend: Next.js API routes with Supabase for real-time data storage and user management Key Features: Real-time conversation storage, emotional pattern analysis, responsive design, and graceful API fallbacks
Challenges we ran into
Multi-AI provider coordination - Integrating 4 different AI APIs with unique authentication and response formats Emotional data visualization - Creating meaningful, non-overwhelming representations of complex emotional patterns Therapeutic boundaries - Ensuring AI responses maintain appropriate professional boundaries while being helpful Real-time performance - Optimizing response times across multiple AI providers while maintaining conversation context
Accomplishments we're proud of
Seamless AI integration - Successfully orchestrated 4 different AI providers in one cohesive experience Therapeutic authenticity - Each AI agent has distinct personalities and evidence-based therapeutic approaches Accessibility focus - Voice transcription, responsive design, and screen reader compatibility Data privacy - Secure, encrypted storage with user control over their mental health data Scalable architecture - Clean separation of concerns allowing easy addition of new AI providers or features
What we learned
AI personality design - How to craft distinct, therapeutically appropriate AI personas Mental health UX - The importance of calming design, clear navigation, and crisis support resources Multi-provider resilience - Building robust fallback systems for AI service interruptions Emotional data handling - Sensitive approaches to storing and visualizing personal mental health information
What's next
Advanced analytics - Predictive emotional pattern recognition and personalized wellness recommendations Community features - Anonymous peer support groups and shared coping strategies Integration expansion - Wearable device data, calendar integration, and mood-based music recommendations Professional partnerships - Connecting users with licensed therapists when AI support isn't sufficient Mobile app - Native iOS/Android applications for on-the-go mental wellness support
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