
Playdo.ai
A comprehensive technical interview practice platform that simulates real coding interviews with AI-powered feedback, real-time code execution, and personalized practice sessions. The platform provides an immersive interview experience with voice interaction, code compilation, and adaptive problem generation.

Core Features
AI Interview Simulation
- • Real-time AI interviewer (Sophia) with natural language processing
- • Multi-phase interview process: problem understanding, discussion, and coding
- • Voice-to-text transcription for hands-free interaction
- • Text-to-speech responses with natural language formatting
- • Adaptive hints and guidance without revealing solutions
Code Execution & Testing
- • Multi-language support (Python, Java, C++)
- • Real-time code compilation and execution via Flask API
- • Automated test case generation using OpenAI
- • Comprehensive error handling (compile errors, runtime errors, wrong answers)
- • Visual feedback with test case results and execution status
Technical Stack
Frontend
- • Next.js 15 with App Router
- • React 18 with hooks and context
- • Tailwind CSS for styling
- • Framer Motion for animations
- • Monaco Editor for code editing
- • React Unity WebGL for 3D elements
Backend & Infrastructure
- • Next.js API routes for REST endpoints
- • Flask Python API for code execution
- • OpenAI GPT-4o for AI interactions and problem generation
- • Supabase for authentication and database
- • Real-time WebSocket communication
- • Vercel for frontend deployment
Key Integrations
- • OpenAI API for AI-powered interactions
- • Supabase for user authentication and data persistence
- • WebRTC for audio/video processing
- • Web Speech API for voice transcription
- • File system operations for problem management
- • Real-time communication between components
Architecture Highlights
Microservices Architecture
- • Separate frontend and code execution services
- • Real-time communication between components
- • Comprehensive error handling and user feedback
- • Scalable problem generation system
Development Environment
- • Multi-language code execution pipeline
- • Responsive design with modern UX patterns
- • Environment-based configuration
- • Comprehensive error handling and logging