Description

Whisper AI is an advanced AI-powered Quality Assurance platform for call centers, leveraging OpenAI's Whisper model to automatically transcribe, analyze, and evaluate customer service calls. The platform transforms call center operations by providing automated quality scoring, sentiment analysis, compliance monitoring, and performance insights for both agents and supervisors.

Key features include automatic call transcription with speaker diarization (agent vs customer), AI-driven quality scoring based on customizable criteria, sentiment analysis to detect customer emotions, keyword spotting for compliance and issue tracking, automated performance reports with actionable insights, multi-language support (99+ languages) for global call centers, and real-time alerts for critical issues or policy violations. The platform helps call centers improve agent performance, ensure compliance, enhance customer satisfaction, and reduce manual QA workload by up to 90%.

Tech stack & implementation details

• AI Model: OpenAI Whisper model for state-of-the-art automatic speech recognition (ASR) with speaker diarization to distinguish between agents and customers.
• Backend Framework: Built with Python for AI model integration, call audio processing, quality scoring algorithms, and analytics workflows.
• Frontend Technologies: Modern web interface with JavaScript for call upload, real-time transcription monitoring, quality dashboards, and performance reports.
• AI Analysis: Natural Language Processing (NLP) for sentiment analysis, keyword extraction, compliance checking, and automated quality scoring.
• Audio Processing: FFmpeg integration for call recording format conversion, noise reduction, and audio enhancement before transcription.
• Database: Storage for call recordings, transcriptions, quality scores, agent performance metrics, and historical analytics.
• API Integration: RESTful API endpoints for integration with call center systems (Genesys, Five9, Avaya), CRM platforms, and workforce management tools.
• Quality Scoring: Customizable scoring rubrics, automated evaluation criteria, compliance checks, and performance benchmarking.
• Multi-language Support: Automatic language detection and transcription in 99+ languages for multinational call center operations.
• Analytics & Reporting: Real-time dashboards, agent performance tracking, trend analysis, sentiment metrics, and exportable reports in PDF/Excel.
• Performance: GPU acceleration for faster transcription, batch processing for high call volumes, and queue management for concurrent analysis.