ProcessLens - Enterprise Process Analysis with IBM

ProcessLens is a comprehensive process mining and analysis platform built with IBM Granite 3.8B at its core. Our team developed a dual-layer analysis pipeline that processes operational data through both structured metric calculations and Granite's natural language capabilities. Technical Implementation: Frontend: Built with Next.js 15 and React 19, featuring real-time WebSocket updates and interactive visualizations using Recharts. The UI includes dark/light mode theming, responsive layouts, and enterprise-grade components from shadcn/ui. Backend: FastAPI implementation with a sophisticated analysis pipeline, MongoDB integration via motor, and GridFS for large file handling up to 100MB. Key Features: Data Processing & Analysis: Support for CSV and Excel with robust validation Parallel processing pipeline using IBM Granite for text analysis and structured metrics Real-time thought process visualization through WebSocket connections Comprehensive error handling with automatic retries Visualization & Metrics: Interactive performance dashboards showing cycle times and throughput Process pattern detection with confidence scoring Resource utilization analysis with heat maps Anomaly detection and bottleneck identification Enterprise Integration: WebSocket-based real-time updates MongoDB GridFS for scalable file storage Comprehensive API documentation PDF report generation with detailed insights Process Mining Capabilities: Automated pattern recognition in process flows Resource allocation optimization suggestions Performance bottleneck identification Cross-process correlation analysis Production Features: Role-based access control Dark/light mode support Responsive design for all devices Enterprise-grade error handling The system demonstrates advanced integration of IBM Granite through: Token-optimized prompting Structured output parsing Error recovery mechanisms Context-aware analysis