I built a production Insurance AI Agent (https://github.com/Emarhnuel/Insurance-AI-agent.git) with FastAPI + CrewAI with 2 autonomous crews (3-agent Onboarding, 1-agent RAG), custom premium calculators, policy analysis tools, RAG knowledge base (7 PDFs), Mem0 memory, OpenTelemetry monitoring. Full K8s deployment (GKE), CI/CD pipeline, health checks, rolling updates.
Transform complex workflows into intelligent multi-agent systems. Check the GitHub link below
Stack: Python, CrewAI, FastAPI, Kubernetes, Docker, OpenAI, Gemini
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I made a tutorial for an AI agent where I built an AI-powered blockchain analytics platform (https://www.youtube.com/watch?v=ceRZWLkxEbU) built with CrewAI that analyzes crypto wallets across Ethereum, Polygon, BSC, Arbitrum, and Base.
Uses 4 specialized agents - Portfolio Analyst, Transaction Specialist, Investment Strategist, and Intelligence Synthesizer - working sequentially to process on-chain data via Zapper API.
Delivers good reports with portfolio composition, risk assessment, behavioral patterns, and investment recommendations through CLI and Streamlit interfaces with real-time tracking and downloadable outputs.
Try it out: https://onchain-ai-agent.onrender.com/
Github code: https://github.com/Emarhnuel/Onchain-AI-agent