About

As customer interactions increasingly shift toward AI-driven and automated systems, monitoring and improving conversation quality has become a major challenge. This application addresses that gap by transforming raw conversation transcripts (SRT format) into structured, actionable insights.

The system analyzes conversations at both sentiment and behavioral levels—tracking emotional flow, response latency, silence spikes, empathy usage, ownership language, and other key performance signals. It enables teams to identify what drives successful outcomes and detect early signs of escalation.

Designed for real-world use, the solution includes an interactive dashboard for exploration and a REST API that can be seamlessly integrated into existing pipelines without disrupting current workflows.

Additionally, the architecture is extensible to Voice AI systems by incorporating speech-to-text outputs, enabling real-time monitoring and continuous improvement of AI-driven conversations.

This application turns unstructured conversations into a scalable intelligence layer for improving customer experience and operational performance.