You will get a Make.com AI workflow that auto-extracts meeting action items


Project details
You will get a working AI automation that turns raw meeting notes into a structured, tracked log of action items — no more chasing owners or losing commitments after a meeting ends.
I bring 12+ years as a Technical Project Manager running cross-functional agile teams, so this isn't a generic AI demo — it's built around how PMs and Scrum Masters actually run meetings and follow up.
You paste notes into a form; Groq AI extracts task, owner, and deadline; everything logs to Sheets and emails to stakeholders automatically.
I test with your real meeting format before handoff, and you get the workflow blueprint plus documentation so you understand exactly how it works, not just a black box.
I bring 12+ years as a Technical Project Manager running cross-functional agile teams, so this isn't a generic AI demo — it's built around how PMs and Scrum Masters actually run meetings and follow up.
You paste notes into a form; Groq AI extracts task, owner, and deadline; everything logs to Sheets and emails to stakeholders automatically.
I test with your real meeting format before handoff, and you get the workflow blueprint plus documentation so you understand exactly how it works, not just a black box.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
LLaMAWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$650
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | ||
Database Integration | - | ||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $150
Additional Revision
+$40Frequently asked questions
About Allavudeen
AI Workflow Automation Specialist | n8n - Make - AI Agents
Tiruchirappalli, India - 4:19 pm local time
With 12+ years of experience as a Technical Project Manager, I've led offshore cross-functional teams, managed client delivery, and handled complex integrations — so I understand exactly where workflows break down and how to fix them permanently with automation.
What I build:
🔷 n8n Automations — RAG Document Intelligence Agents, Conversational Email Agents, Gmail-to-Jira ticket pipelines, and custom multi-step AI workflows
🟠 Make Automations — Standup summarisers, sprint retro processors, blocker escalation bots, and AI-powered status report generators
🤖 AI Agents — LLM-powered agents using Google Gemini and Groq with vector databases (Supabase pgvector), persistent PostgreSQL memory, and structured outputs
My tech stack:
n8n · Make · Google Gemini · Groq API · HuggingFace · Supabase · PostgreSQL · Gmail API · Jira API · Slack · Google Sheets · Python
What makes me different:
I bring a Project Manager's mindset to every automation — requirements first, edge cases handled, documentation delivered. You get a production-ready workflow, not a fragile prototype.
Currently building a 30-automation public portfolio on GitHub — every build is tested, sanitized, and documented.
If your team is spending time on tasks a workflow could handle in seconds — let's talk.
Steps for completing your project
After purchasing the project, send requirements so Allavudeen can start the project.
Delivery time starts when Allavudeen receives requirements from you.
Allavudeen works on your project following the steps below.
Revisions may occur after the delivery date.
Set Up
I set up the Google Form, Sheets structure, and configure the Groq AI extraction prompt for your meeting format.
Build
I build and test the full Make.com scenario end-to-end using a sample of your real meeting notes.


