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A multi-agent framework that enable users to perform a data science pipeline with just two inputs

MADS is a project developed by AI Flow Solutions that enables users to systematically perform a data science pipeline with just two inputs: a problem description and a CSV file containing data. The MADS framework orchestrates a multi-agent system that generates predictions, produces a detailed report on the data, and trains a machine learning model. The next phase of this project will introduce complexity by incorporating reinforcement learning to enhance the performance of each agent. Currently, this project is being developed on top of the Autogen framework.

KOLFind is an AI-driven platform that helps brands discover and connect with nano and micro influencers across TikTok, Instagram, and YouTube to drive effective influencer marketing campaigns.

Platform for building AI data scientists - create and deploy your own data science agents in days

AI Agents, LLMs, Artificial Intelligence, Data Science

Generate professional scientific figures for manuscripts, grants, and presentations. The accurate, no-code AI alternative to GraphPad Prism and BioRender.

Autonomous AI Agents for Data Engineering
Autonomous DeFi stress-testing agent that runs scenario simulations against protocol parameters at $

Collaborative analytics and data science platform