A centralized interface for managing AI-powered email triage, providing real-time insights, categorization, and routing for efficient workflow handling in legal or business environments.
Built with React.js and TypeScript for a responsive UI, integrated with Python and TensorFlow for backend AI processing. The dashboard visualizes automated email classification, priority detection, and auto-routing, achieving 75% time savings and 95% accuracy.
~Displays email categories (e.g., legal matters, client inquiries) with 95% accuracy using NLP algorithms.
~Interactive charts showing categorization trends and learning improvements over time.
~Flags urgent emails with visual indicators (e.g., red alerts for time-sensitive issues).
~Real-time urgency scoring based on content analysis, ensuring no critical matters are missed.
~Shows email distribution to team members based on expertise, workload, and availability.
~Optimization metrics for resource allocation, with drag-and-drop or automated assignment options.
Modern UI framework for responsive interfaces
Type-safe development for robust code
Component library for consistent design
Modern Python web framework used to quickly build fast, secure, and well-documented APIs using standard Python type hints.
to build and train machine learning and deep learning models with flexible, dynamic computation.
a framework for building AI agent workflows by organizing large language model actions into structured, stateful graphs.
provides pre-trained AI models, datasets, and tools for building and deploying machine learning applications.
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