SRKianlogy
Get Pyscology mental heath advice from traained AI
About
The problem it solves Mental health support is often inaccessible, expensive, or unavailable when people need it most. Traditional therapy has barriers like: Limited availability - Therapists have restricted hours and long waiting lists High costs - Professional therapy can be prohibitively expensive Stigma and privacy concerns - Many people hesitate to seek help due to social stigma Geographic limitations - Rural areas often lack mental health professionals Inconsistent support - Human therapists may not always be available during crisis moments Pyscologist solves these problems by providing: ✅ 24/7 Accessibility - Always available when you need emotional support ✅ Privacy-First Design - Anonymous, secure conversations without judgment ✅ Consistent Personality - AI companion with Shah Rukh Khan's warmth and empathy ✅ Memory-Enhanced Sessions - Remembers your journey and builds on previous conversations ✅ Cost-Effective - Affordable alternative to traditional therapy ✅ Immediate Response - No waiting lists or appointment scheduling The app makes mental health support as accessible as sending a text message, while maintaining the therapeutic warmth and guidance people need for emotional well-being. Smart Contract Address(es) na
How it's made
Challenges we ran into 1. Frontend-Backend Integration Complexity Problem: Initially, the frontend and backend were completely disconnected. The chat interface was using mock data, and there was no API communication layer. Solution: Created a comprehensive API client (lib/api.ts) with proper TypeScript interfaces Built a custom useChat hook to manage state and API calls Implemented proper CORS configuration in the backend Added Docker networking to ensure services could communicate 2. State Management for Real-Time Chat Problem: Managing loading states, error handling, and message synchronization between frontend and backend was tricky. Solution: Implemented a robust state management system in the useChat hook Added proper error boundaries and fallback messages Created smooth loading indicators that match the app's therapeutic tone 3. Docker Service Communication Problem: Services couldn't communicate with each other when containerized, even though they worked in development. Solution: Added a custom Docker network (app-network) Configured proper environment variables for service discovery Set up dependency management in docker-compose to ensure proper startup order 4. Maintaining Therapeutic UX During Technical Integration Problem: Adding real API calls could have broken the smooth, calming user experience that's crucial for a therapy app. Solution: Preserved the gentle loading animations and thoughtful response delays Maintained the warm, SRK-inspired personality even in error messages Ensured the UI never feels "broken" or technical, even when APIs fail The biggest learning was that mental health apps require extra attention to UX details - every loading state, error message, and interaction needs to feel supportive rather than frustrating.