Predictive analytics: Build a machine learning service, integrate it within the Celus micro-service architecture, and train a regression model to predict complex geometric variable values and write user stories in collaboration with the internal stakeholders based on the final scope.

Classification modeling: Introduce the classification of schematic nets and interfaces to the ML service to help reduce development time for electronic engineers by automatically pre-filling web application templates for them.

Data extraction: Extract information from PDF data sheets using fonduer to build new datasets about electronic parts and their characteristics — and implement a model (emmental) that will learn to identify electronic parts regardless of PDF data structure.