Jul 23 (edited) • 🚀 The Roast Room
AI Tic‑Tac‑Toe Challenge
🚀 Introducing “AI Tic‑Tac‑Toe Challenge” – My Self‑Play AI Web App
Today, I’m excited to share a passion project: a Tic‑Tac‑Toe web app featuring self‑play AI with adjustable difficulty levels—from Random to Expert using minimax + alpha‑beta pruning!
🎮 Features
Multiple difficulty modes: Easy (random moves), Medium (heuristic), Hard (strategic), and Expert (unbeatable minimax).
Intuitive UI built with React/Next.js for smooth, real‑time gameplay.
Gameplay stats & history tracking: monitors wins, ties, and move history across sessions.
💡 Learning highlights
Implemented minimax with alpha‑beta pruning for optimal decision-making.
Incorporated heuristics (center/corner preference) for mid-level AI.
Designed real-time UX with delays to simulate thinking.
📌 Try it yourself
Try your hand—see if you can beat the AI! It’s open for feedback and contributions.
🔗 Feedback & next steps
Looking forward to community feedback. Next, I’m planning:
Advanced AI modes (ML‑based or Monte Carlo Tree Search)
Mobile responsiveness & accessibility improvements
Adding user accounts and leaderboards
Huge thanks to those who've supported me along the way—your encouragement keeps me going.
If you enjoy the app, a 👍 or share would mean a lot! Let’s connect—always happy to collaborate on AI, web dev, or frontend UX. 😉
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AI Tic‑Tac‑Toe Challenge
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Leaderboard (30-day)
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