AI-Powered Career Concierge
CareerGenesis is a Gemini-powered multi-agent career intelligence platform that helps users optimize resumes, identify skill gaps, generate personalized learning roadmaps, and prepare for interviews through an intelligent AI concierge experience.
📄 Resume Analyzer ATS-focused resume analysis Strengths and weaknesses detection Resume improvement recommendations Resume upload support
Compare skills against target roles Identify missing skills Match percentage calculation Personalized recommendations
AI-generated career roadmaps Milestones and timelines Resource recommendations Certification suggestions
Role-specific interview questions AI-powered answer evaluation Feedback and scoring Model answers and coaching tips
Routes user requests to the appropriate specialist agent Provides intelligent orchestration across the platform Multi-Agent Architecture User ↓ Coordinator Agent ├── Resume Agent ├── Skill Gap Agent ├── Roadmap Agent └── Interview Agent MCP Server
CareerGenesis includes an MCP (Model Context Protocol) server that exposes agent capabilities and demonstrates agent interoperability concepts learned during the course.
Frontend React Vite Tailwind CSS Backend FastAPI Python Gemini 2.5 Flash AI & Agent Technologies Multi-Agent Architecture MCP Server Google Gemini Agent Orchestration
✅ Multi-Agent System ✅ MCP Server ✅ Agent Skills ✅ Agent Orchestration ✅ Security Best Practices ✅ Gemini-Powered AI Workflows
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CoderVibes
git clone https://github.com/SujalMahapatra/CareerGenesis.git cd CareerGenesis Backend pip install -r requirements.txt uvicorn backend.api.main:app --reload Frontend cd frontend npm install npm run dev