ScienHub is an innovative online platform that combines a collaborative LaTeX editor with support for clinical research. Key features include AI-enhanced language tools, Git integration, and a modern UI tailored for seamless collaboration among researchers. The platform is built for various user needs, whether for academic papers or clinical trials, offering tools that enhance writing quality and streamline project management processes. ScienHub aims to empower the research community by providing essential resources and a network for sharing knowledge.

Virtual Scientists leverages GPT-based language models to create specialized AI Agents that replicate expert scientists across various fields. Each virtual researcher is configured with tailored prompt engineering to provide accurate, context-aware answers, propose experimental protocols, interpret scientific data, and generate insights. Users select a scientific persona, input their questions or project details, and receive detailed, discipline-specific guidance supported by references and reasoning for educational or research purposes. The platform is hosted on GitHub Pages and is fully open-source. The codebase supports easy customization and extension of new scientific personas by modifying JSON configuration files. Ideal for collaborative research, teaching demonstrations, or personal study, Virtual Scientists bridges the gap between AI language models and practical scientific problem-solving by offering a dynamic, interactive environment for exploring complex topics with expert-like guidance.

Harvy is an advanced AI-powered research assistant tailored to enhance the research process by simplifying data collection and analysis. With Harvy, users can easily gather, organize, and analyze large volumes of data with unprecedented speed and accuracy. The platform is designed to help researchers, analysts, and students save time and improve the quality of their work by providing them with powerful tools to manage their research tasks.