R&D / Innovation Lab
Chess Game PWA
Rebuild game interaction and AI opponent logic with a stronger algorithmic foundation.
Objectives
- Implement AI opponent using minimax
- Optimize search with alpha-beta pruning
- Improve interaction model
- Package as a PWA
Our Solution
A React + TypeScript chess PWA with rebuilt AI opponent logic and a cleaner interaction model.
Build details
Stack, process, features, and delivery notes.
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Tech Stack
- React
- TypeScript
- PWA
- Minimax
- Alpha-beta pruning
Development Process
- Game model review
- AI logic rebuild
- Interaction redesign
- PWA testing
Key Features
- AI opponent
- Minimax
- Alpha-beta pruning
- PWA
- Rebuilt interactions
Results
- Demonstrates algorithmic depth
- Demonstrates optimized game-tree search
- Demonstrates product interaction design
Client / Project Note
"R&D project used to demonstrate engineering beyond CRUD."
Related services
Services used in this project.
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