feat: add adaptive AI opponent with difficulty levels and interactive UI enhancements#607
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…-bell-92#526) - Web (js/projects/rock-paper-scissor.js): - Implement Markov-chain + frequency blend adaptive AI engine - AI observes player history (last 20 moves) to predict next move - Plays counter-move 75% of time, random 25% for balanced gameplay - Add live 'Computer Brain Analysis' glassmorphic dashboard panel showing: AI mode, player favourite, predicted move, counter-move, confidence %, and round-result history dots - Persist player history in localStorage across page reloads - Fix: remove duplicate getRockPaperScissorHTML/initRockPaperScissor from projects.js so modular file is correctly loaded - Preserve all existing features: stats grid, keyboard shortcuts, comp-card reveals, streak/best-score tracking - Python CLI (games/Rock-Paper-Scissor/Rock-Paper-Scissor.py): - Same blended Markov + frequency prediction engine - 70% adaptive counter / 30% random for fairness - Print 'Computer Brain' status block each round once MIN_ADAPTIVE moves are recorded (favourite move, prediction, confidence, mode) - Show most-played move in statistics summary
…ctHTML The old registry had two blocks: 1. Lines 9-32: eagerly-invoked (called immediately on object creation) 2. Lines 33-67: lazy arrow functions (called only when modal opens) Duplicate keys meant JS used the second block's value — but the first block still executed ALL functions eagerly, meaning any single broken or missing function (e.g. getsnakeGameHTML with wrong casing) would throw a TypeError and crash the entire projects object for every game click, leaving every modal blank. Fix: consolidate into one clean registry of lazy arrow functions only.
- Redesigned Rock Paper Scissors with animated arena, shake-reveal computer choice, clash effects, color-coded results, difficulty tabs (Easy/Medium/Hard), live tendency bar, and adaptive AI - Removed duplicate RPS functions from projects.js (now solely in js/projects/rock-paper-scissor.js) - Fixed dual search input bug: renamed hero search to heroSearchInput, synced both inputs for filtering - Fixed snake game: removed broken nested restartGame() that shadowed the outer function, made Start Game button properly reset state
…ping tester, search, and RPS features
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@Mudita-Singh is attempting to deploy a commit to the Anuj's projects Team on Vercel. A member of the Team first needs to authorize it. |
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@Mudita-Singh why did you changed snake game file if this PR addresses only RPS game |
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@steam-bell-92 Thanks for pointing that out. The changes in the Snake game file were not intended as a feature change for this PR. While resolving merge conflicts, I retained the existing fixes related to the Snake game (start/restart functionality and movement controls) to avoid regressions. No new Snake game functionality was introduced as part of this PR , the primary focus remains the Rock Paper Scissors adaptive AI and UI enhancements. If you'd prefer, I can remove the unrelated Snake file changes and keep this PR strictly scoped to the RPS implementation. |
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Summary
This PR transforms Rock Paper Scissors from a purely random-choice game into a more interactive and strategic experience.
Previously, the computer selected its moves entirely at random:
computerChoice = choices[Math.floor(Math.random() * choices.length)];
The new implementation introduces adaptive move selection based on player history, configurable difficulty levels, and several UI/UX improvements that make the game feel more responsive and engaging while maintaining fair gameplay.
🎯 Adaptive Computer Opponent
Replaced purely random move generation with a history-based adaptive strategy.
Computer analyzes recent player choices and predicts likely future moves.
Selects counter moves with a difficulty-dependent probability.
Falls back to randomness when insufficient history is available.
⚖️ Difficulty Levels
Added Easy, Medium, and Hard difficulty modes.
Easy: Mostly random behavior.
Medium: Moderate adaptation (35% counter chance).
Hard: Stronger adaptation (55% counter chance).
Default difficulty changed from Hard to Medium for a more balanced experience.
Increased adaptation threshold from 3 rounds to 5 rounds to reduce premature pattern detection.
✨ Interactive Redesign
Difficulty tabs (Easy / Medium / Hard).
Animated computer move reveal.
Clash effects (💥 🤝 💀).
Color-coded result animations.
Live Rock/Paper/Scissors tendency tracking.
Button lockout during animations.
Keyboard hints (R / P / S).
Compact modal-friendly layout.
Testing
Verified adaptive behavior across all difficulty levels.
Verified random fallback logic.
Tested win/loss/tie outcomes.
Tested animation flow and button lockout.
Tested tendency bar updates.
Tested keyboard shortcuts.
Tested responsive layout.
Fixes #526.
📸 Screenshots
Enhanced Rock Paper Scissors Interface