AI-powered meeting assistant that converts transcripts or notes into structured project reports with actions, risks, and next steps.
🌐 Live Demo: https://meeting-brain.netlify.app
📂 Repo: https://github.com/gorankolak/meeting-brain
Meeting Brain is a lightweight AI productivity tool designed to help teams quickly transform messy meeting notes into clear, structured outputs.
Users can paste transcripts, upload notes, or load an example meeting. The application then generates a structured report containing:
- summary
- action items
- responsible persons
- risks
- next steps
The goal is to reduce time spent manually organizing meeting outcomes and help teams move faster from discussion to execution.
Frontend
- React (Vite)
- Tailwind CSS v4
- Lucide Icons
AI
- Google Gemini API
Deployment
- Netlify
- Paste transcript or meeting notes
- Upload meeting files
- Example meeting for quick testing
- AI-generated structured report
- Export options (PDF, Jira-ready tasks)
- Croatian / English interface
Meeting Brain was developed using an AI-paired engineering workflow combining LLM planning with automated implementation.
The process followed a structured development flow:
- Product idea and requirements definition
- UX planning and architecture design
- Backlog creation and task breakdown
- Implementation with OpenAI Codex as development executor
- Human review, iteration, and UI/UX refinement
This approach allowed rapid iteration while maintaining clear product direction and architecture control.
AI was used as a development accelerator, while architectural decisions, product scope, and code review remained human-guided.
Meeting Brain is part of my portfolio exploring AI-assisted product development, where structured planning and LLM execution can significantly accelerate building and shipping MVP applications.