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AI PrototypeNLP

AI Receptionist

An intelligent virtual assistant that actually listens. It uses sentiment analysis to route customer calls to the right person, ensuring priority issues get handled first.

warningThe Challenge

High-volume call centers often struggle with long wait times and misrouted calls, leading to customer frustration and operational inefficiency.

lightbulbThe Solution

Developed a voice-AI system using OpenAI's Whisper and GPT-4 to analyze caller intent and sentiment in real-time. The system routes calls dynamically based on urgency.

Core Features

1

Sentiment Analysis

Real-time tone detection to prioritize urgent customer needs.

2

Smart Routing

Automatically transfers calls to the most qualified agent based on intent.

3

Voice-to-Text

Instant transcription of calls for better record-keeping and analysis.

Media Gallery

AI Receptionist screenshot 1
AI Receptionist screenshot 2
AI Receptionist screenshot 3
Final Outcome

Results & Impact

Priority issues are now addressed 3x faster, and customer satisfaction scores for initial triage increased significantly.

60%

Efficiency Boost

40%

Conversion Increase

24/7

Active Monitoring

Tech Stack

Next.jsOpenAIWebRTCTailwind CSS