🚀 Career Autopilot

Career Autopilot is an intelligent, agentic AI platform designed to manage and accelerate your career growth. It uses a multi-agent system to analyze your profile (Resume, GitHub, LinkedIn), assess your skills, verify market trends, and generate personalized learning roadmaps.

🧠 Core Capabilities

1. "Brainy" Data Extraction

Unlike simple keyword matchers, Career Autopilot uses LLMs to deeply understand your experience:

• Resume Analysis: Extracts not just skills, but detailed Projects with descriptions, your specific role, technologies used, and outcomes.
• GitHub Deep Dive: analyzes your top repositories, reads README.md files, and interprets code complexity and tech stack.
• Data Synthesis: Cross-references signals from multiple sources to build a high-confidence user profile.

2. Multi-Agent Architecture

The system is powered by specialized agents working in concert:

• ResumeIngestionAgent: Parses and understands resume documents.
• GitHubIngestionAgent: Fetches and analyzes code portfolios.
• SkillAssessmentAgent: Evaluates proficiency and confidence based on evidence.
• MarketIntelligenceAgent: Scans (simulated) job market data to find trends and opportunities.
• LearningPathAgent: Generates dynamic, step-by-step roadmaps to bridge skill gaps.
• Orchestrator: Manages the agent lifecycle, dependencies, and execution flow.

3. Realtime Interactive Dashboard

• Live Agent Feed: Watch agents work in real-time as they process data and make decisions.
• Deep Dive: Click on any agent action to see the raw data, reasoning, and JSON payloads.
• Command Center: Interact with the system using natural language commands.

🏗️ Technical Stack

Backend (/backend)

• Framework: FastAPI (Python)
• AI/LLM: Integration with Groq (Llama 3) for high-speed inference.
• Memory: Persistent JSON-based state management (CareerMemory) with Pydantic models.
• Architecture: Modular Agent class hierarchy with defined autonomy levels and guardrails.

Frontend (/frontend)

• Framework: Next.js 14 (React / TypeScript)
• Styling: Custom CSS Modules with a unified dark mode design system.
• State: Realtime polling and React Hooks for state management.
• Components: Modular UI components (AgentFeed, Roadmap, ProjectList, HexagonScore).

🚀 Getting Started

Prerequisites

• Python 3.9+
• Node.js 18+
• Groq API Key (for LLM features)

Installation

1. Clone the repository

   git clone https://github.com/your-repo/career-autopilot.git
   cd career-autopilot

2. Backend Setup

   cd backend
   pip install -r requirements.txt
   
   # Set your API Key
   # Windows PowerShell
   $env:GROQ_API_KEY='your_key_here'
   
   # Run the server
   uvicorn main:app --reload

3. Frontend Setup

   cd frontend
   npm install
   npm run dev

4. Access the Dashboard Open http://localhost:3000

📂 Project Structure

• backend/: Core AI logic, agents, and API server.
• frontend/: Interactive web UI.
• .agent/: Internal agent workflows and memory.

📄 Documentation

Check the doc.md files in each subdirectory for detailed architectural explanations of that specific module.