About Data Driven Models
A research data platform for AI-driven quality control in manufacturing.
Data Driven Models is a web-based platform developed at Blekinge Institute of Technology that brings together research data management, machine learning deployment, and cross-institutional collaboration — enabling research teams and industry partners to turn simulation data into actionable quality predictions through a secure, role-based interface.
Platform Capabilities
Everything you need for data-driven manufacturing research.
Hierarchical data organisation by project, material grade, and data type with filesystem-backed storage.
Version-controlled model library supporting ANN, Random Forest, and XGBoost with per-part tracking.
Real-time quality prediction tools with SHAP explainability and process optimisation.
Built-in AI assistant for querying data, generating charts, and exploring model strategies.
Role-based access control (Admin, Researcher, Viewer) across multiple research projects.
Browse and download datasets by category, material grade, or data type.
Centralised access to conference papers, journal articles, and demo videos.
GREEN / YELLOW / RED status system for instant quality assessment on every prediction.
Technology Stack
Built on proven, open-source technologies.
Core language for backend and ML pipelines
Lightweight web framework with Jinja2 templates
MLP neural networks, Random Forest, and XGBoost models
Interactive data visualisation and dashboards
Relational database for structured research data
Containerised deployment with Docker Compose
Reverse proxy, SSL termination, and static serving
Explainable AI for transparent model predictions
Research Projects
The platform supports multiple research projects and industrial use cases.
CiSMA
Circular Steel for Mass Market Applications — EU Horizon Europe project developing AI-driven quality control for recycled steel in automotive manufacturing.
13 partners · 5 countries · EU fundedPREDICT
Failure Prediction of Complex Load Cases in Sheet Metal Forming — Vinnova-funded research on forming limit prediction for DP-steels and aluminium alloys.
7 partners · Sweden · Vinnova fundedInterested in Collaboration?
We welcome research partners, industry collaborators, and academic institutions interested in data-driven manufacturing and circular steel innovation.
Consortium Partners
18 research institutions and industry partners across Europe.
