The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.

This is end to end course on AI Agents and Agentic AI with 15+ AI Agent Projects with real time use cases and industry expertise.

Langflow Templates is a curated collection of ready-to-use workflow templates for Langflow, the visual framework for building multi-agent and RAG applications. These templates demonstrate best practices for implementing AI-powered solutions across various industries and use cases.

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.

This repository features a rich collection of optimized prompts for AI applications, focusing on ChatGPT and other conversational agents. Each prompt is organized by roles or specific use cases, helping streamline tasks across industries and boost productivity.

A community-driven repository of industry and use-case analyses for agentic systems. Documents how ai agents can fail, and how those failures map to SAFE-MCP attack techniques.

This repository provides an AI agent as a proof-of-concept(PoC) and demonstration for agentic AI adoption in industry/enterprise workflows and use cases.

A multi-agent system for AI-driven market research, use case generation, and resource collection. It utilizes Langchain, Langgraph, Gradio and Tavily API to research industries, generate AI/ML use cases, and gather datasets and tools. This system helps organizations explore AI solutions and implement innovative strategies effectively.

Comprehensive agentic AI applications for various industries using AWS Bedrock AgentCore with Enterprise Platform Services - Finance, Insurance, Retail, Healthcare, Manufacturing, and Real Estate

💎ᴠɪᴘ A curated collection of AI agent use cases across industries, showcasing practical applications and linking to open-source projects for implementation

The AI Agents is a curated collection of practical AI agent use cases spanning multiple industries. It highlights real-world applications and includes links to open-source projects, demonstrating how AI agents are driving transformation in healthcare, finance, education, retail, and beyond.

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation…

Multi-Agent architecture system that generates relevant AI and Generative AI (GenAI) use cases for a given Company or Industry

This project is a multi-agent system designed to conduct in-depth market research and generate AI/ML use cases for a target company within a specific industry. Using Google Generative AI, CrewAI, and Streamlit for an interactive user interface, this system enables quick, automated research and report generation through specialized agents.

This repository contains hands-on exercises and demo notebooks for a workshop on Generative AI in Industry. Participants will explore both Generative AI and Agentic AI through practical, domain-focused use cases.

Multi-Agent architecture system that generates relevant AI and Generative AI (GenAI) use cases for a given Company or Industry.

Multi-AI Agent System powered by Crew AI – An automated platform that orchestrates multiple AI agents to research industries, generate practical AI/ML use cases, and curate datasets, models, and GitHub resources. Saves time, delivers actionable insights, and empowers cross-industry innovation.

🤖 Discover AI agent use cases across industries, linking to open-source projects that demonstrate real-world applications and transformations in various fields.

This project is a multi-agent system designed to conduct in-depth market research and generate AI/ML use cases for a target company within a specific industry. Using Google Generative AI, CrewAI, and Streamlit for an interactive user interface, this system enables quick, automated research and report generation through specialized agents.

This project is a web application that enables users to input an industry/company name to conduct research & generate relevant use cases using GenAI and Machine Learning. Built with Python, it utilizes Streamlit for the interface, LangChain for agent management, & Google Generative AI for NLP tasks, streamlining research for AI-driven innovation.

Exploring agentic AI systems through hands-on projects, covering autonomous agents, workflows, and industry use cases.

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries.

Market Research & Use Case Generation Agent-Multi-Agent architecture system that generates relevant AI and Generative AI (GenAI) use cases for a given Company or Industry.

Multi-Agent architecture system that generates relevant AI and Generative AI (Generative AI) use cases for a given Company or Industry.

Multi-Agent architecture system that generates relevant AI and Generative AI (GenAI) use cases for a given Company or Industry.

Multi-Agent architecture system that generates relevant AI and Generative AI (GenAI) use cases for a given Company or Industry.

A multi-agent AI system that researches industries and generates tailored AI/GenAI use cases with implementation resources using CrewAI and LangChain.

A multi-agent architecture system that generates AI and generative AI use cases tailored to a specific company or industry.

This project implements a Market Research & GenAI Use Case Agent that automatically generates AI/GenAI use cases for a company or industry.

Multi-Agent architecture system that generates relevant AI and GenAI use cases for a given Company or Industry.