Inspiration To bring real-time intelligence and transcription to customer support calls.
What it does Analyzes live calls to provide sentiment, keywords, and action points instantly.
How we built it Using Next.js for frontend, FastAPI for streaming backend, and WebSockets for real-time data flow.
Challenges we ran into Handling audio stream stability and ensuring low-latency transcription.
Accomplishments that we're proud of Achieved seamless real-time insights with speaker separation and sentiment tagging.
What we learned Deep understanding of WebRTC, audio processing, and scalable event-driven APIs.
What's next for Live Call Insights Integrate multilingual support and push analytics to CRM platforms.
Built With
- access
- auth:
- control
- database:
- frontend:-next.js-14-backend:-fastapi-cloud:-aws-(ec2
- postgresql
- role-based
- s3)
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