Llama 3 Hackathon

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A multilingual AI-powered Research Assistant as a one-stop solution with interactive Q&A and more!

Araycci

Rus0804

Ananth1704

Aditya1620

Samyuktha

notyourroh

Avinash_03

Our project seeks to develop a sophisticated multilingual AI-powered Research Assistant that optimizes the management and utilization of research papers. Utilizing the LLAMA3 LLM, this platform integrates advanced functionalities, including automated clustering and summarization of research papers, and interactive Q&A capabilities. The system allows users to upload their own documents or access papers from the ArXiv database, supporting interactions through both text and audio inputs/outputs. The incorporation of a Retrieval-Augmented Generation (RAG) framework facilitates seamless and intuitive engagement with research content. This all-encompassing solution significantly enhances research efficiency, broadens access to critical information, and addresses language barriers, thereby supporting the effective integration and application of new knowledge on a global scale.

Our Multilingual AI-powered Research Assistant uses the LLAMA3 LLM to streamline research paper management with clustering and interactive Q&A. It supports text and audio inputs/outputs, integrates with ArXiv, and breaks down language barriers.

"Araycci team on Llama 3 Hackathon Hackathon"

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