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Tender text input
Prepare internal tender documents as text inputs so accumulated records can enter the classification workflow.
B01AI & data
AI classification for a decade of tender documents
An AI project addressing manual classification of ten years of accumulated internal tender text.
Explore the features
01 OVERVIEW
The challenge and approach
The approach combines task-specific LLM fine-tuning with text classification, turning historical tender records into a reusable body of categorized information for staff review.
Original project visuals are presented in Korean, with English explanations alongside them.
02 FEATURES
The features, in context
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Task-specific model adaptation
Apply PyTorch-based LLM fine-tuning to the classification requirements of internal tender documents.
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Classification review
Present automatic classification results for staff to inspect and use when organizing tender information.
03 SCREENS & DESIGN
How the design comes together
Explore the project’s information structure, interface composition, and design decisions
04 WORKFLOW
Following the user’s next step
The flow connects entry points, user roles, and the next step in the work
Energy analytics and AI for small businesses
System development
Manufacturing AI and smart factory solution design
Solution design
University ERP and integrated system operations
Operations improvement