AI Career Navigator is an intelligent career guidance and opportunity management platform for university students, fresh graduates, job seekers, and recruiters.
Many students struggle to understand current market-demand skills, identify their skill gaps, find suitable opportunities, and track multiple internship/job applications.
Career information is often scattered across job boards, social media, seniors, blogs, and spreadsheets, making career preparation time-consuming and unstructured.
Our goal was to bring these career-preparation activities into one organized platform.
Problem
Difficulty understanding which skills are currently demanded by the job market. Lack of personalized skill-gap analysis. Difficulty finding relevant internships, jobs, and freelancing opportunities. No centralized way to manage multiple applications. Career planning often depends on guesswork and scattered information.
Solution AI Career Navigator compares a student's skills with market-demand data. Generates a Career Readiness Score. Identifies missing or weak skills through Skill Gap Analysis. Recommends relevant internships, jobs, and freelancing opportunities. Generates a personalized Learning Roadmap. Allows students to apply for opportunities and track application status. Allows recruiters to post opportunities and manage applicants.
How It Works
Build Skill Profile Analyze Career Identify Skill Gaps Calculate Career Readiness Score Get Opportunity Recommendations Generate Learning Roadmap Apply for Opportunities Track Application Progress
How We Built It Developed using React Designed as a menu-driven console application. Used Java Serialization for persistent storage. Implemented rule-based/heuristic skill matching for AI-assisted recommendations. Exception handling, collections, composition, and file handling are also implemented.
What We Learned Applying OOP concepts to a real-world problem. Designing relationships between multiple system entities. Building skill-gap and recommendation logic. Managing application workflows and persistent data. Combining AI-assisted logic with a structured Java application.
Challenges Connecting skill analysis, recommendations, learning roadmaps, and application tracking into one system.
Designing meaningful recommendations without using a complex external ML framework. Keeping the system simple enough for a core Java/OOP project while maintaining practical functionality.
Future Scope
Real-time job-market data integration. Advanced AI-powered recommendations. Web and mobile applications. Smarter career-path prediction. Larger internship and job databases. More personalized learning recommendations.
Core Idea
Know Your Skills → Find Your Gaps → Learn What Matters → Discover the Right Opportunity → Track Your Career
AI Career Navigator Helping students turn their skills into career opportunities.
Built With
- ai
- react
- studio
- typescript
Log in or sign up for Devpost to join the conversation.