🎙️ Asynchronous Voice-Note Knowledge Graph
The Asynchronous Voice-Note Knowledge Graph is a UI/UX design project and web application concept for an AI-powered remote team knowledge management platform.
Unlike traditional audio recording tools that leave valuable information trapped in isolated files, this application is designed around an active intelligence pipeline. The system transcribes voice notes, summarizes content, extracts key organizational entities, and connects them into a searchable, interactive knowledge graph and company wiki.
🌐 Live Project
🔗 Live Project:
https://toad-flip-69860205.figma.site
The live project demonstrates the interactive application interface, user authentication, and the core user experience of the voice-to-knowledge transition.
🎥 Project Demonstration
A complete demonstration video of the Asynchronous Voice-Note Knowledge Graph application is available below.
https://drive.google.com/file/d/1dHcmO1E3tW30KtE6iBkW5EuII5I4Q2gc/view?usp=sharing
📱 Project Overview
The project focuses on creating a frictionless, productivity-focused interface that bridges the gap between unstructured verbal communication and formal documentation.
The main goal is to reduce the manual documentation burden for distributed teams by allowing them to simply "speak" their updates, while the system handles the organization. The interface is designed to clarify complex AI operations (transcription, NLP extraction, graph node generation) through clean visual hierarchies and intuitive user flows.
✨ Key Features
- 🎙️ Quick-capture asynchronous voice recording
- 📝 Automated speech-to-text transcription
- 🤖 AI-powered executive summarization
- 🏷️ Intelligent entity and relationship extraction
- 🕸️ Interactive visual knowledge graph
- 📚 Automated company wiki indexing
- 🔍 Semantic knowledge discovery and search
- 🔐 Secure team authentication and workspace access
- 🎨 Modern, productivity-focused UI components
🎨 UI/UX Design
The project focuses on creating a clear, scan-friendly, and engaging user experience through:
- User-centered design methodologies
- Strong typographic and visual hierarchy
- Progressive disclosure of complex AI data
- Consistent UI components and design tokens
- Clear system status and processing feedback
- Accessible contrast ratios
- Easy manual verification interactions
- Clean and modern workspace aesthetic
🛠️ Technologies & Tools
The project was designed and developed using:
- Figma
- React
- TypeScript
- Tailwind CSS
- Vite
📁 Project Structure
Voice-Knowledge-Graph/
│
├── .figma/
│
├── src/
│ ├── imports/
│ ├── App.tsx
│ ├── index.css
│ ├── main.tsx
│ └── vite-env.d.ts
│
├── .gitattributes
├── .gitignore
├── .mise.toml
├── AGENTS.md
├── CLAUDE.md
├── index.html
├── package.json
├── pnpm-lock.yaml
├── tsconfig.json
└── vite.config.ts