# Product Context

## Project Purpose
ChessPrism is a macOS application designed to:
1. Capture chess.com game windows
2. Detect and analyze chess positions in real-time
3. Generate FEN strings for position analysis
4. Track moves and game progress

## Core Features
1. Screen Capture
   - Automatic chess.com window detection
   - Real-time board monitoring
   - Configurable capture settings

2. Board Analysis
   - Accurate piece detection
   - 12 piece categories:
     * 6 white pieces (pawn to king)
     * 6 black pieces (pawn to king)
   - Position validation
   - FEN string generation

3. Machine Learning
   - Vision-based Core ML model
   - Direct category mapping
   - High confidence threshold (0.75)
   - Fast inference time

## User Experience Goals
1. Reliability
   - Accurate piece detection
   - Consistent board recognition
   - Robust error handling

2. Performance
   - Real-time analysis
   - Low resource usage
   - Smooth capture

3. Usability
   - Automatic window detection
   - Minimal setup required
   - Clear feedback

## Current Status
1. Working Features
   - Screen capture system
   - Board detection
   - Piece recognition
   - FEN generation

2. Recent Improvements
   - Simplified classification system
   - Direct category mapping
   - Vision framework integration
   - Improved error handling

3. Known Limitations
   - Requires chess.com's default board theme
   - macOS 12.3+ requirement
   - Screen capture permissions needed

## Future Enhancements
1. Short Term
   - Monitor classification accuracy
   - Fine-tune confidence threshold
   - Improve error reporting

2. Long Term
   - Support for multiple board themes
   - Game analysis integration
   - Move suggestion system

## Technical Requirements
1. System
   - macOS 12.3 or later
   - Metal-capable GPU
   - Screen recording permissions

2. Dependencies
   - Vision framework
   - Core ML
   - ScreenCaptureKit

3. Performance Targets
   - 30 FPS capture
   - Sub-second analysis
   - Low CPU/GPU usage