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  Career GPS — AI-Powered Career Intelligence Platform

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  Dual-Theme Interface for Accessibility

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  Resume Upload & Profile Input — Drag, Drop, or Paste

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  Real-Time AI Analysis in Progress with Contextual Progress Updates

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  Best-Fit Role Matching — Match Scores Powered by Gemini 2.5 Flash

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  Recruiter Simulation — How Hiring Managers See Your Profile

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  Skill Gap Analysis — Critical vs. Moderate Gaps by Role

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  Personalized Learning Roadmap — Phase-by-Phase Career Plan

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  Portfolio Project Suggestions — Build to Close Skill Gaps

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  Before & After Progress Tracking — Measure Your Growth

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  Delta Analysis — Role Score Improvement

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  Delta Analysis — Resolved Skill Gaps & Roadmap Progress

🧾 Project Overview

Problem Being Addressed

Students and early professionals often struggle to understand how their current skills align with real-world career roles such as Software Development or Machine Learning. While many tools provide generic resume feedback, they fail to offer clear direction, role-specific insights, and actionable pathways for improvement.

As a result, individuals spend time learning without knowing whether their efforts are actually improving their chances of getting shortlisted or succeeding in their target roles.

Proposed Solution

This project introduces AI Career GPS, an intelligent system that analyzes a user’s resume or skill set and transforms it into a structured, role-oriented career analysis.

The system provides:

• Role Match Scores to quantify how well a user fits different career paths
  
• Skill Gap Analysis to identify missing or weak areas for each role
  
• Personalized Roadmaps outlining step-by-step improvement strategies
  
• Project Suggestions tailored to strengthen the user’s profile
  
• Recruiter Perspective Insights, highlighting strengths, weaknesses, and shortlist likelihood
  
• Before vs After Simulation, allowing users to see how specific improvements (e.g., learning DSA) impact their role readiness
  

By combining analysis with simulation, the system goes beyond static feedback and enables interactive career planning.

Intended Impact / Use Case

The tool is designed for:

• Students preparing for internships or placements
  
• Self-taught developers unsure about their readiness
  
• Individuals transitioning between roles (e.g., from Data Analyst to ML Engineer)
  

Its primary impact is to:

• Provide clarity in career direction
  
• Enable data-driven decision making about what to learn next
  
• Reduce wasted effort by focusing on high-impact improvements
  
• Simulate future outcomes, helping users understand how their choices affect their career trajectory
  

Ultimately, the system acts as a practical, AI-powered career navigation tool, bridging the gap between current skills and real-world opportunities.

Built With

• css
• gemini-api
• html
• javascript
• node.js
• vscode