AI-EduResearch: Platform for Supporting Research and Learning Powered by Artificial Intelligence and Machine Learning Models

The AI-EduResearch project addresses the difficulties faced by students and researchers when processing large volumes of scientific information. Traditionally, creating state-of-the-art reviews and systematic literature reviews is a complex and time-consuming task, often taking between 6 and 12 months. The developed platform utilizes deep learning algorithms and generative language models (LLMs) to automate the collection, filtering, and semantic analysis of documents. The technological solution allows for the automatic identification of key topics, relevant terms, and semantic connections, significantly reducing the time and effort required in the preliminary stages of research. By eliminating the need for exhaustive manual processing, the tool democratizes access to knowledge and facilitates the early incorporation of students and new faculty into scientific projects. The system has been validated through functional testing and performance metrics, demonstrating its ability to generate personalized visual representations and accurate summaries. This development not only optimizes academic productivity but also promotes a culture of inclusive and efficient research, aligning with sustainable development goals in education and technological innovation.<br/><br/><b>Goal</b>: <br/>Develop an intelligent platform based on artificial intelligence and machine learning to optimize research and learning processes. The goal is to automate the collection, analysis, and synthesis of scientific information to facilitate the creation of state-of-the-art reviews and improve academic efficiency.<br/><br/><b>Research lines</b>: <br/>Computer systems and artificial intelligence