Github Elmogaber Animated Research Assistant

Github Elmogaber Animated Research Assistant Contribute to elmogaber animated research assistant development by creating an account on github. Welcome to my github profile! 🚀 i am passionate about ai software development, business intelligence, and creating impactful visualizations. i am a ml engineer & data anlysis from egypt. 🔭 i’m currently focused on developing impactful, data driven dashboards to uncover actionable insights.

Github Cc Keh Research Assistant An extensible multi agent research assistant that uses gemini powered subagents (researcher, analyst, formatter) with arxiv and custom tools to search, analyze, format, and persist academic findings, and can run locally (flask) or be deployed to vertex ai. Our goal is to build a lightweight, multi agent system around chat models that customizes the research process. users can choose any set of input sources for their research. users provide a. Transform raw data into actionable insights with comprehensive analysis and stunning visualizations using python, r, sql, power bi, and tableau. modern, responsive applications that showcase your data and analytics. custom solutions using the latest technologies for performance and usability. The advancements in april 2026 will accelerate the adoption of generative ai across industries, enabling more sophisticated applications in research, healthcare, and content creation. the competition among leading companies is likely to drive innovation, while the introduction of open source models like llama 4 will democratize access to cutting edge ai tools, fostering global collaboration.

Researchworkstation Github Transform raw data into actionable insights with comprehensive analysis and stunning visualizations using python, r, sql, power bi, and tableau. modern, responsive applications that showcase your data and analytics. custom solutions using the latest technologies for performance and usability. The advancements in april 2026 will accelerate the adoption of generative ai across industries, enabling more sophisticated applications in research, healthcare, and content creation. the competition among leading companies is likely to drive innovation, while the introduction of open source models like llama 4 will democratize access to cutting edge ai tools, fostering global collaboration. In this post, i will extend some of those ideas and show how to create a “research assistant” using ollama, mistral, rag, llamaindex, and streamlit. this application will have two parts:. By automating steps of the empirical research process, we hope autora can accelerate scientific discovery while promoting greater transparency and rigor in empirical research. In this article you will learn why multi agent workflows are the current best standard and how to build the optimal autonomous research multi agent assistant using langgraph. With aira, she quickly generates summaries of hundreds of papers, identifying key trends and gaps in her field. the knowledge graph feature helps her discover unexpected connections between different research areas, inspiring a novel approach for her thesis.