Career Lens helps students and professionals make data-driven career decisions using AI-powered insights and recommendations.
CareerLens is a sophisticated 32-microservice platform that deeply analyzes professional profiles. It uses semantic search and multi-agent reasoning to build 5-year optimized career trajectories, earning a National Hackathon victory.
Problem
Students and early-career professionals struggle to convert resumes, skills, and goals into clear, data-backed career decisions.
Solution
Career Lens analyzes profiles with AI workflows, identifies skill gaps, and generates personalized career paths through a microservices architecture.
Features
Resume and profile analysis
Skill-gap detection
Personalized career recommendations
Multi-agent reasoning for trajectory planning
Screenshots
Career Lens recommendation engine preview
Architecture
1Profile ingestion normalizes resume and user context
2Embedding services map skills and experience into searchable vectors
3AI recommendation workers evaluate roles, gaps, and learning paths
4Frontend presents a structured journey with prioritized next actions
