CareerAI Pro – Smart Career Recommendation Platform

Inspiration

Choosing the right career path is a major challenge for students due to lack of guidance and overwhelming options. Many rely on limited advice or trends rather than data-driven insights. This inspired us to build Career AI Pro, a platform that uses intelligent logic to guide users toward suitable careers based on their skills, interests, and academic performance.

What it does

Career AI Pro is an AI-powered career recommendation platform that:

Analyzes user skills, interests, and academic scores Parses resume PDFs to extract additional information Matches user profiles with 60+ career options across multiple domains Provides match percentage, salary insights, and growth trends Suggests personalized career roadmaps with required skills and degrees Allows users to save/bookmark careers and interact with an AI chatbot How we built it

We built Career AI Pro as a modern web application using:

Frontend: HTML, Tailwind CSS, JavaScript Libraries: Chart.js for data visualization PDF.js for resume parsing Three.js for interactive 3D UI Logic Layer: A custom AI-like engine using similarity matching Multi-factor scoring system based on: Skills (40%) Interests (20%) Academic performance (25%) Career growth trends (15%)

We also implemented local storage to simulate authentication and saved user data.

Challenges we ran into Designing an effective skill-matching algorithm without using real ML models Parsing resume PDFs accurately and extracting meaningful text Balancing UI performance with advanced features like Three.js Structuring a large career database with relevant attributes Ensuring smooth user experience across different devices Accomplishments that we're proud of Built a fully functional AI-driven career recommendation system Successfully integrated resume parsing and dynamic analysis Designed a clean, modern UI with interactive elements Created a scalable structure supporting 60+ careers Delivered a complete end-to-end product experience (not just a prototype) What we learned How to simulate AI decision-making using rule-based logic Working with real-world libraries like PDF.js and Chart.js Structuring and managing complex frontend applications Improving UI/UX design for better user engagement Understanding how career recommendation systems work What's next for Career AI Pro – Smart Career Recommendation Platform Integrate real AI models (e.g., NLP and embeddings) for better accuracy Add Firebase authentication and cloud database Improve resume analysis with skill extraction and classification Provide real-time job market data and salary trends Launch a mobile-friendly version or dedicated app Introduce mentor guidance and career comparison features

Built With

• html