src/IMPLEMENTATION_ROADMAP.md

DigiTwin Implementation Roadmap

Current Status: ✅ Production Ready

• ✅ Core application functionality
• ✅ Data upload and processing
• ✅ FPSO visualizations
• ✅ Pivot table analytics
• ✅ Database persistence
• ✅ Responsive UI with custom styling
• ✅ Sidebar layout optimizations

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Phase 1: Data Preprocessing Module

Timeline: Week 1-2 Status: 🔄 Planned

Tasks:

• Create preprocessing.py module
• Implement column analysis functionality
• Add data cleaning pipeline
• Integrate with main application
• Test with existing datasets

Deliverables:

• Preprocessing module with column removal logic
• Data size reduction by 40-60%
• Improved loading performance

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Phase 2: Feature Engineering

Timeline: Week 3-4 Status: 🔄 Planned

Tasks:

• Create feature_engineering.py module
• Implement Main WorkCtr categorization
• Add temporal and spatial features
• Update database schema
• Integrate with analytics

Deliverables:

• Enhanced dataset with derived features
• Improved analytics capabilities
• Better insights generation

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Phase 3: LLM Integration with RAG

Timeline: Week 5-8 Status: 🔄 Planned

Tasks:

• Set up vector database (Chroma/FAISS)
• Implement LLM model integration
• Create RAG query system
• Add chat interface to Streamlit
• Test and optimize

Deliverables:

• Natural language query capability
• Intelligent insights generation
• Enhanced user experience

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Phase 4: Integration & Testing

Timeline: Week 9-10 Status: 🔄 Planned

Tasks:

• Integrate all modules
• Performance testing
• User acceptance testing
• Documentation updates
• Production deployment

Deliverables:

• Fully integrated enhanced application
• Performance benchmarks
• User documentation

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Success Metrics

Performance Targets:

• ⚡ 50% faster data loading
• 💾 40-60% data size reduction
• 🧠 <3 second RAG query response
• 📊 >90% query accuracy

User Experience:

• 🎯 Natural language interaction
• 📈 Enhanced analytics insights
• 🔍 Improved data discovery
• 🚀 Better overall performance

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Notes

• All enhancements maintain backward compatibility
• Modular design for easy integration
• Focus on user experience and performance
• Scalable architecture for future growth

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Last Updated: December 2024 Next Review: [Date]