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MeetPro AI: Real-Time Collaboration With AI at the Center

This case study is based on the Project MeetPro AI, a product designed during an internal innovation AI Challenge

Meeting Intro.jpg

Thank you

The Problem

Why this was made

In fast-paced delivery environments, it’s all too common for teams to leave client meetings thinking they're aligned, only to realize later that everyone took away something different. One day you’re on a call nodding in agreement, and the next, the designs aren’t quite what the client expected. Sales, design, and development teams each walk away with their own interpretation.

We’ve experienced this firsthand. That’s what led us to create MeetPro AI, a smart meeting assistant that helps everyone stay on the same page, with shared clarity and real-time understanding.

More Than Summaries,
A Smarter, Real-Time Meeting Layer

Every conversation is transcribed live. If a team member encounters a term they’re unfamiliar with like “vector embedding” or “serverless architecture” the system instantly provides a simple, easy-to-understand explanation on the spot.

Live Transcription with Real-Time Definitions

As the conversation unfolds, MeetPro intelligently creates a draft feature list and Statement of Work (SOW). These aren’t just static templates, they’re dynamically generated from the actual context of the discussion, capturing what truly matters.

SOW and Feature List, Auto-Generated

A clean, lightweight side widget surfaces key terms from the conversation, each tagged with a timestamp. Just click on any term to jump straight to that moment in the meeting and no need to scroll through the whole transcript.

Smart Keyword Highlights

Project Highlights 

2nd

Position in AI design challenge

4+

Judges appreciated our Idea

7

days working part time

3

Team of Designers

My Role

The idea for our AI-powered real-time translation tool stemmed from a recurring challenge I observed during cross-functional meetings, key design or technical terms often got lost in translation, especially when domain experts weren’t present on calls. This frequently led to delays and misalignment within teams.

When the AI Innovation Challenge was announced, I pitched this problem statement and the concept of using AI to solve it. My team resonated with the idea, and we decided to pursue it despite our ongoing full-time project commitments.

As one of the three designers on the team, I played a key role in driving the initiative from identifying the problem to shaping the solution. Together, we conducted user research, facilitated ideation sessions, and collaboratively designed the end-to-end experience. We completed the entire case study, including UI designs and prototype, within just 7 days.

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Meetpro Means:

Real-time speech-to-text with on-the-fly explanations

In-call keyword tracker with timestamps

Role-specific insights and recommendations

Multi-language voice translation

Meetings Shouldn’t Create More Work

Final Thoughts

MeetPro AI started with a simple problem: too much gets lost between the meeting and the next steps. We built a system that cuts through the noise—automating the routine stuff, highlighting what matters, and making sure everyone stays aligned in real time.

This isn’t about replacing your team. It’s about empowering each role with the right information, exactly when it’s needed. If you’ve ever left a meeting feeling unsure of what’s next, MeetPro AI was made with you in mind.

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