AI4MDE is a web-based environment where users can design UML Diagrams either via a user-friendly interface or by chatting with a chatbot. The platform currently generates fully functional Django software prototypes from these diagrams. Now, we need you(!) to extend this generation architecture by implementing a documentation generator for these prototypes. This involves creating an API that uses Large Language Models and AI4MDE’s metadata model to generate documentation for Django prototypes.
Develop an AI-powered wheeled rover system for archaeological fieldwork, featuring autonomous navigation, deep learning-based pottery detection, and real-time communication with base stations.
Develop an AI-powered system to transcribe and structure historical documents from Erfgoed Leiden's archives, transforming 15,000 pages of civil registration records into searchable digital data with entities like persons, events, and places.
Enhance and improve document management tools using AI and ML, focusing on tasks like policy document analysis, content restructuring, and automated compliance checking.
The Air Quality Assessment team of TNO specializes in developing and implementing air quality measurement techniques to map diffuse sources of nitrogen, greenhouse gases, and particulate matter as effectively as possible. To achieve this, we regularly collect data using a van equipped with advanced laser instruments. This setup is used to inventory emissions for a wide range of clients, including governments, industries, and public services. With the recent advent of large language models (LLMs), we now have the opportunity to automatically interpret results and generate textual summaries of the data. We are eager to explore how this technology can be integrated into our current workflow to accelerate and streamline the predominantly manual analysis process.
AI4MDE is a web-based environment where users can design UML Class, Activity, and Use Case Diagrams either via a user-friendly interface or by chatting with a chatbot. The platform currently generates fully functional Django software prototypes from these diagrams. Now, we aim to take it to the next level by allowing the reverse: transforming Django projects into UML Diagrams. This involves creating an API that parses Django models into JSON representations of UML, enabling seamless interaction between code and design.
AI4MDE is a web-based environment where users can design UML Diagrams either via a user-friendly interface or by chatting with a chatbot. The platform currently generates fully functional Django software prototypes from these diagrams. However, the databases of these prototypes are still empty after generation. We need you(!) to implement an API that can fill these databases with synthetic data. This involves creating an API that either uses Large Language Models or a rule-based generation framework to initialize databases with synthetic data.
Develop an intelligent software solution that generates optimized educational timetables for the Institute of Psychology. The system will handle course requirements, teacher availability, classroom resources, and ensure conflict-free scheduling with balanced workloads.