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AI LangGraph Roadmaps Python

CAREERAI: LANGGRAPH ROADMAP BUILDER

AI research agent executing iterative web research to construct custom learning paths.

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CareerAI is an agentic roadmap generator powered by LangGraph, designed to perform custom web research and build structured learning roadmaps.

"By using iterative LangGraph search agents, CareerAI browses the web to compose step-by-step career path guides."

The Agentic Pipeline

Naively prompting LLMs for learning paths often yields generic, outdated advice. CareerAI runs an agent loop: it first checks the target career goal, performs iterative web search queries for modern requirements, compiles curriculum structures, and outputs a visual interactive roadmap.

Key Technologies

The backend is built in Python using LangGraph, LangChain, and search integrations. It serves structured roadmap files to a React UI, allowing users to track their progress step-by-step.

Impact

CareerAI provides students and career-switchers with personalized, verified learning paths containing real links to documentation and active study materials.

System Architecture

[ROADMAP RECONSTRUCT VISUALIZER]
Interactive React Frontend with Cytoscape/D3.js node rendering
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[ITERATIVE LANGGRAPH RESEARCH AGENTS]
LangGraph DAG Workflow / Tavily Search API Integration / LLM Critic Loop
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[ROADMAP ARTIFACT INDEX]
DynamoDB / Structured JSON schemas containing node paths & references