About

IntentScope is a production-ready behavioral analytics platform combining offline machine learning training with real-time streaming inference. This comprehensive system features a 40-block canvas implementing: (1) Offline Training - data ingestion, 54-feature behavioral engineering, Gradient Boosting success prediction (100% test accuracy), LSTM sequence modeling (~95% accuracy), unsupervised K-Means intention clustering (4 archetypes: Builder/Explorer/Learner/Abandoner), and explainability analysis; (2) Real-Time Inference - thread-safe streaming event buffer with incremental feature extraction (<100ms), REST API endpoint (<50ms latency), live monitoring dashboard; (3) Advanced Features - gamification system with badges/streaks/leaderboards, personalized recommendation engine using feature importance, multi-user aggregate analytics, scenario simulation for what-if analysis, professional Plotly dashboard with 9 components, API authentication middleware with tier-based rate limiting, comprehensive documentation. The system demonstrates sophisticated ML engineering (cross-validation across GB/LSTM/K-Means), production-ready patterns (error handling, monitoring, thread safety), and beautiful data visualization following Zerve design system with dark theme (#1D1D20) and accent colors.