Qualified

Inspiration

Many students struggle to find jobs that align with their skills and career aspirations, while companies face difficulties sourcing diverse and qualified talent. We wanted to create a platform that simplifies this process using AI, helping students secure jobs while providing companies with a streamlined recruitment process.

What it does

Qualified is an AI-powered career development platform that connects students with job opportunities, generates personalized career roadmaps, and helps companies discover top talent. The platform allows students to upload their resumes, receive AI-driven job recommendations, track their progress, and gain insights into career-building steps. Companies can post job listings, filter candidates, and find the best matches efficiently.

How we built it

We built Qualified using:

Frontend: React, TailwindCSS
Backend: Express.js, Drizzle ORM
Database: PostgreSQL (NeonDB)
Authentication: Passport.js, Express-Session
AI Matching: OpenAI API
Deployment: Vercel / AWS

The backend follows a RESTful architecture, handling user authentication, AI-powered recommendations, and database operations. Our AI model processes student resumes and job listings to provide tailored matches.

Challenges we ran into

Optimizing AI Matching – Fine-tuning AI algorithms to ensure relevant and accurate job recommendations.
Authentication & Security – Implementing secure login and session management with Passport.js.
Database Management – Structuring data efficiently for performance and scalability.
Frontend Integration – Ensuring a smooth user experience when integrating the AI-driven features.
Time Constraints – Managing development time effectively within the hackathon timeframe.

Accomplishments that we're proud of

Successfully built a functional AI-powered job-matching system.
Created a user-friendly and responsive web interface.
Integrated personalized career roadmaps for students.
Developed a seamless authentication system for both students and recruiters.
Implemented a scalable backend to support real-time job postings and applications.

What we learned

How to implement AI-powered recommendation systems.
Best practices for authentication and security in web applications.
The importance of user experience in career development platforms.
Effective collaboration and time management during a hackathon.

What's next for Qualified

Expanding AI capabilities to provide even better job recommendations.
Adding interview preparation tools to help students practice for job interviews.
Partnering with more companies to increase job opportunities.
Enhancing analytics for students to track their job application progress.
Building a mobile-friendly version for on-the-go career tracking.

Qualified is just the beginning of a smarter, more efficient way for students to navigate their careers and for companies to find top-tier talent! 🚀

Built With

aws`
combining-ai-powered-recommendations-with-a-seamless-web-experience.-###-?-languages-javascript-/-typescript-###-??-frameworks-&-libraries-**frontend:**-react
drizzle
drizzle-orm-**authentication:**-passport.js
express-session-**state-management:**-tanstack-react-query-**ui-components:**-radix-ui
express-session`
express.js`
framer
javascript`
motion`
neondb`
orm`
passport.js`
postgresql`
query`
radix
react
react`
tailwindcss-**backend:**-express.js
tailwindcss`
tanstack
typescript`
ui`
vercel`