Try it here: https://github.com/gosha70/study-stream
This beta version of Study Stream targets local users. We apologize for the inconvenience; our team is actively working on completing the binary installation of our product. Right now you can start using the Study Stream application by following these instructions: https://github.com/gosha70/study-stream/blob/main/README.md#getting-started
About
Study Stream" leverages cutting-edge AI technologies to revolutionize the way students engage with educational content. At its core, the platform employs Retriever-Augmented Generation (RAG) for dynamically processing study materials, enhancing the retrieval of information and generating precise, context-aware summaries. This is further enriched by reinforcement learning algorithms that adapt and optimize content delivery based on individual learning patterns, promoting an effective study regime. Additionally, "Study Stream" utilizes a Convolutional Neural Network (CNN) to analyze student participation and sentiment during study sessions, providing tailored feedback and recommendations to boost productivity and engagement. This intelligent system not only personalizes learning experiences but also improves bookmarking and search functionalities, ensuring that students can navigate through vast resources efficiently and effectively.
