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SEA is an automated paper review framework capable of generating comprehensive and high-quality review feedback with high consistency for papers, thereby assisting researchers in improving the quality of their work.
Cogito: Computational framework employing a Syncretic Catalyst (synthesis) & rigorous Critique System (analysis) autonomously. Deeply accelerates your expert research on scientific literature via LLMs/ArXiv.
Final exam project for PGR107 Python Programming (Kristiania University of Applied Sciences, Spring 2025). Four CLI-based mini applications developed collaboratively using GitHub flow, code reviews, and clean coding principles.
Reviewer Finder is an automated system that recommends reviewers for academic papers, enabling gains in time and cost efficiency for journal editors and researchers.
Avrit Api: A decentralized way of designing and reviewing the quality and the importance of study material or content, assignments, projects, practicals and assessments.
SciVote is a search engine built on top of the ArXiv open-access repository of preprints. In addition to vector-based search, SciVote enables users to dynamically re-rank results based on community-voted criteria, offering a more tailored and transparent discovery experience.