Trie Data Structure Visualization | Word Relationship Graph in Action | Next.js + 3D Visualization
🚀 Explore the power of Trie Data Structures visually!
This project brings to life how characters connect to form words — and how words relate to one another — using an interactive Trie visualization built with Next.js, React Three Fiber, and TailwindCSS.
🔗 Try the Live App:
👉 https://next-apps-five.vercel.app/
💡 About the Project
A Trie (prefix tree) is one of the most efficient ways to store and search words — especially useful for:
Autocomplete systems 🔍
Spell checkers ✍️
Text analysis & compression 💬
Large-scale language datasets 📚
This visualization helps you see how:
Characters branch out as prefixes
Words share structural paths
Relations between words are maintained
You can scale the visualization dynamically
⚙️ App Features:
✅ Toggle Character edges to see how each letter connects.
✅ Toggle Word edges to view inter-word relations.
✅ Adjust Base Radius and Level Gap to change depth and density.
✅ Watch the Trie expand and collapse interactively.
🔮 Future Additions:
Frequency-based word weighting
Import/export of custom text datasets
Trie compression & optimization visualization
Real-time text ingestion
🧠 Who Should Watch
Students learning Data Structures & Algorithms
Developers working on search engines, autocomplete, NLP
Anyone curious about how words connect beneath the surface
🧩 Tech Stack
Next.js for the frontend
React Three Fiber for 3D visualization
TailwindCSS for styling
Vercel for deployment
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