As part of our AI & Data Analytics Course in Pune, learners work on an advanced, industry-relevant project: Meeting Intelligence & Decision Tracking System.
Problem Statement: Why Meeting Intelligence Matters
Organizations rely heavily on meetings for planning, strategy, and execution. However, common challenges include:
No clear record of decisions made during meetings
Action items not tracked or followed up
Loss of important context over time
Manual note-taking leading to errors and inefficiency
This project addresses these challenges by building an AI-powered system that automatically captures, summarizes, and tracks meeting outcomes.
Yes, Microsoft Teams provides meeting summaries, but this project is not about using a tool.
It is about building the intelligence behind such tools. Microsoft Teams is a product. This project teaches learners how to design, build, and customize a similar AI system from scratch.
What Is Technically Different in This Project?
1️⃣ Custom Speech-to-Text Pipeline
Learners integrate Whisper or similar models
Understand accuracy tuning, noise handling, speaker separation
Learn how enterprise systems handle large audio data
➡️ Teams just shows the result; learners build the engine.
2️⃣ Decision & Action Item Extraction (Beyond Summary)
Microsoft Teams gives:
Basic meeting recap
This project teaches:
Decision detection logic
Action-item ownership extraction
Timeline-based decision tracking
Example:
“Decision approved in Meeting A → Revisited in Meeting C → Implemented in Meeting D”
➡️ This decision traceability is NOT available out-of-the-box in Teams.
3️⃣ Long-Term Meeting Memory Using Vector Databases
Teams:
Stores meetings individually
This project:
Stores meeting knowledge across time
Allows semantic queries like:
“What decisions were made about vendor selection in last 6 months?”
“Which actions assigned to John are still open?”
➡️ Learners understand RAG (Retrieval-Augmented Generation), a hot AI skill.
4️⃣ Workflow Automation (Enterprise-Level Thinking)
Learners build automations such as:
Auto-creating tasks in Jira / Trello
Sending follow-up reminders
Escalation if action items are not closed
➡️ This reflects real corporate automation use cases, not consumer features.
While tools like Microsoft Teams provide meeting summaries, this project focuses on building the AI system behind such capabilities, enabling learners to understand, customize, and implement enterprise-grade AI solutions used in real organizations.
How This Project Helps Learners
Teaches How AI Products Are Built
Learners gain exposure to:
AI system design
Data pipelines
Model integration
Business logic + AI alignment
This is what companies expect from:
AI Engineers
Applied Data Scientists
Product-focused Data Analysts
Looking to do projects in Artificial Intelligence:
Want to start a career in Data Analytics and AI. At Tech Concept Hub, Pune, we offer an industry-designed training program that takes you from basics to advanced projects. Build job-ready skills in Data Analytics, Machine Learning, Deep Learning, and Generative AI with our practical training program. Learn with live projects, real datasets, and mentorship from industry experts.
Data Analytics Syllabus: https://techconcepthub.com/data-analytics-course-in-pune/
Gen AI Syllabus: https://techconcepthub.com/generative-ai-course-in-pune/