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NeuralMind

I wanted a tool that maps how ideas connect — not just stores them. ML turns raw thoughts into visual knowledge graphs.

ML-powered mind mapping app that visualizes thought flow and concept relationships with an intuitive graph interface for Android.

Kotlin Jetpack Compose Material Design 3 Machine Learning Room DB

The Backstory

Every knowledge management app I tried felt the same — flat lists, folders, tags. But that’s not how the brain works. Ideas connect to each other in webs, not hierarchies. I wanted to type a concept and watch the app figure out what it relates to, building a visual map of understanding in real time. That’s NeuralMind.

Key Features

  • ML-powered mind maps — Type concepts and the app analyzes associations in real time, generating interactive node graphs
  • Visual knowledge graph — Concepts appear as connected nodes with directional relationships, zoomable and explorable
  • Dark mode — Full dark theme for comfortable use
  • 8 languages — English, Korean, Japanese, Chinese, Vietnamese, Turkish, German, French
  • Bulk node generation — Import JSON data or use AI-assisted methods to create large concept maps quickly
  • Search & filter — Find any concept across your entire knowledge graph instantly
  • Privacy-first — No data collected, no data shared with third parties

How It Works

The core interaction is simple: create a concept node, and the app uses machine learning to identify related concepts and suggest connections. As you build out nodes, the graph grows organically — revealing patterns and relationships you might not have noticed in a traditional note-taking app.

The graph view supports pinch-to-zoom, node dragging, and connection mode where you can manually link concepts. Each node can hold detailed descriptions, and the entire graph is searchable.

Screenshots

NeuralMind screenshot
NeuralMind screenshot
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