Contact person: Business Client

Phone:Show

Email:Show

Location: Barasat, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need a fully automated AI assistant that can slip into any meeting I schedule on MS Teams, Zoom, or Google Meet, capture everything that is said, then hand me concise, structured notes without anyone having to poke it with voice or text commands.

Here is the flow I have in mind: the service watches my calendar, joins at the right time, records the audio/video feed, streams or batches it through a reliable speech-to-text engine, then runs an LLM pass that produces (1) a verbatim transcript, (2) a short, readable summary, and (3) a clearly separated list of action items with owners and due dates when detectable. Once the meeting ends, I want the outputs pushed to a simple web dashboard and dropped into my chosen destinations—email, Slack, or a shared drive API hook.

I am open on the underlying stack as long as it is production-ready: Zoom SDK, Microsoft Graph for Teams, Google Meet’s recording endpoints, plus Whisper, Azure Cognitive, AWS Transcribe, or an equivalent STT engine, and OpenAI or similar for the summarisation layer. Containerised or serverless deployment is preferred for easy scaling.

Deliverables (acceptance criteria)
• Source code and deployment scripts
• End-to-end workflow that auto-joins meetings on all three platforms
• Accurate English transcription (>90 % words correct on clean audio)
• Summaries under 15 % of transcript length yet covering every agenda item
• Action-item extraction with speaker attribution in JSON and markdown
• README covering setup, keys, and how to add languages later

If you have shipped something similar or can demo the critical pieces quickly, let’s talk." (client-provided description)