Inspiration
Career fairs haven't fundamentally changed in decades. Candidates are often left carrying stacks of paper that eventually end up in a recycling bin, while recruiters face a mountain of manual data entry post-event. We wanted to eliminate the "administrative tax" of hiring. Inspired by the simplicity of a QR code and the power of modern LLMs, we set out to create EasyFair: a platform that makes "dropping off a resume" as easy as scanning a menu, whether you’re standing in a booth or sitting on your couch.
What it does
EasyFair is a hybrid recruitment ecosystem that unifies physical and virtual interactions into one dashboard.
For Candidates: A "no-friction" entry system. No 20-minute profile setups—just name, email, and resume upload. In-person, they scan QR codes to share profiles; virtually, they enter smart queues for video calls.
For Employers: A centralized command center. The standout feature is the AI-powered ATS, which automatically parses and scores resumes against job descriptions. It specifically highlights "One Hit Wonders"—candidates with niche, high-value skills who might otherwise be buried by traditional filtering.
How we built it
We utilized a modern, scalable stack to handle real-time interactions and heavy document processing:
Frontend: Next.js and Tailwind CSS for a responsive, fast-loading interface that works seamlessly on mobile (for QR scanning).
Backend: Django or Node.js to manage the complex logic of virtual queues and recruiter dashboards.
Database: PostgreSQL with Supabase for real-time updates and secure resume storage.
AI Engine: Integration with OpenAI's GPT-4o or Claude models to handle resume parsing, scoring, and the "One Hit Wonder" identification logic.
Video/Real-time: WebRTC or Daily.co for the low-latency virtual booth experience.
Challenges we ran into The biggest hurdle was the Hybrid Synchronization. Ensuring that a recruiter could manage a physical line of students while simultaneously keeping track of their virtual queue required a robust state management system. We also faced challenges in AI Calibration—fine-tuning the scoring prompts to ensure the AI didn't just look for "perfect" candidates but actually understood the nuance of specialized skills.
Accomplishments that we're proud of We are particularly proud of the Zero-Friction Onboarding. Reducing the candidate sign-up process to seconds significantly increases engagement rates. Additionally, the "One Hit Wonder" flag successfully identifies talent that traditional ATS systems would typically reject, giving "underdog" candidates a fair shot based on their unique strengths.
What we learned Building EasyFair taught us that in UX, less is almost always more. By removing the requirement for a password-protected account for candidates, we saw a massive jump in "resume drops." We also learned a great deal about the complexities of document parsing and how to structure data so that AI can make objective, helpful comparisons between wildly different resume formats.
What's next for EasyFair The vision for EasyFair is to become the standard for all professional networking events.
LinkedIn Integration: One-click "follow" for candidates and recruiters after a successful interaction.
Predictive Scheduling: AI that tells candidates the best time to visit a booth based on current wait times.
Post-Fair Analytics: Detailed reports for employers on which schools or events are providing the highest density of top-tier talent.
Log in or sign up for Devpost to join the conversation.