4.1 KiB
4.1 KiB
Product Context
Project Overview
ChessPrism is an advanced chess analysis tool that enhances the online chess experience by providing real-time analysis and move suggestions. It works by capturing and analyzing the chess board from popular chess websites and platforms.
Core Problems Solved
Chess Analysis Accessibility
- Makes professional-level chess analysis accessible during online play
- Provides real-time insights without manual position input
- Integrates seamlessly with existing chess platforms
Visual Recognition
- Accurately detects chess board from screen content
- Recognizes board coordinates and boundaries
- Handles various board themes and orientations
- Maintains accuracy during game play
Real-time Processing
- Captures and processes screen content in real-time
- Provides immediate feedback and analysis
- Maintains performance during long sessions
User Experience Goals
Seamless Integration
-
Non-intrusive Operation
- Works with Chess.com desktop app
- Minimal setup requirements
- Automatic board detection and tracking
-
Intuitive Interface
- Clear visualization of analysis
- Easy-to-understand suggestions
- Minimal user intervention required
Reliable Detection
-
Board Recognition
- Two-phase detection strategy:
- Pattern recognition for known interfaces
- Coordinate-based fallback for reliability
- Proper coordinate system handling
- Consistent board capture across sessions
- Two-phase detection strategy:
-
Position Analysis
- Accurate piece recognition (planned)
- Current position evaluation (planned)
- Move suggestion visualization (planned)
Target Users
Chess Players
- Amateur to intermediate players
- Chess.com desktop app users
- Players seeking to improve
Use Cases
-
Learning
- Understanding position evaluation
- Learning from mistakes
- Exploring alternative moves
-
Analysis
- Real-time position assessment
- Move validation
- Strategic planning
Product Requirements
Essential Features
-
Board Detection (Current Focus)
- Accurate boundary recognition
- Full board capture
- Support for Chess.com desktop app
- Reliable coordinate transformations
-
Position Analysis (Planned)
- Real-time evaluation
- Move suggestions
- Tactical opportunities
-
User Interface
- Analysis overlay
- Control panel
- Settings management
Quality Standards
-
Accuracy
- Reliable board detection
- Complete board capture
- Precise coordinate handling
-
Performance
- Real-time processing
- Minimal resource usage
- Stable operation
-
Usability
- Intuitive controls
- Clear feedback
- Minimal setup
Success Metrics
Technical Metrics
- Board detection accuracy rate
- Full board capture success rate
- Processing speed per frame
- Error recovery rate
User Metrics
- Setup success rate
- Analysis accuracy
- User engagement time
- Feature utilization
Current Challenges
Board Detection
-
Coordinate Systems
- Vision framework (bottom-left origin)
- NSImage/CGImage (bottom-left origin)
- SwiftUI (top-left origin)
- Proper transformations between systems
-
Detection Accuracy
- Full board capture
- Consistent positioning
- Reliable boundaries
Next Steps
-
Refine board detection
- Improve coordinate handling
- Ensure full board capture
- Validate transformations
-
Move to position analysis
- Piece recognition
- Position evaluation
- Move suggestions
Future Enhancements
Planned Features
-
Advanced Analysis
- Deep position evaluation
- Opening recognition
- Endgame tablebases
-
Learning Tools
- Mistake analysis
- Improvement suggestions
- Progress tracking
-
Customization
- Analysis depth control
- Visual preference settings
- Platform-specific optimizations
Product Roadmap
Current Phase
- Core board detection system
- Coordinate system handling
- Basic user interface
Next Phase
- Position analysis
- Move suggestion system
- Visual overlay implementation
Future Phase
- Advanced analysis features
- Learning tools integration
- Customization options