🏆 EquiHire – AI-Powered Bias-Free Resume Screening

🔥 Inspiration

Hiring decisions should be based on skills, not bias. We noticed how racial and gender discrimination affects hiring processes, leading to unfair outcomes. Inspired by this, we built EquiHire—an AI-powered resume screening tool that ensures fair, unbiased, and efficient hiring for all candidates.

🛠️ How We Built It

Frontend: React, Framer Motion, and CSS for a sleek and intuitive UI.
Backend: Spring Boot (Java) for handling job postings and AI integration.
AI Model: Uses Google Cloud AI to analyze resumes and match candidates to job descriptions.
File Handling: Supports mass resume uploads with AI-powered ranking.

🚀 What We Learned

AI Fairness: We explored ways to eliminate bias from machine learning models.
Full-Stack Development: Connecting React + Spring Boot for a smooth user experience.
Google Cloud Integration: Leveraging Google AI tools for resume analysis.
Collaboration & Git Best Practices: Overcoming challenges with merge conflicts & large files in Git.

⚡ Challenges We Faced

🔹 Ensuring AI Fairness – Making sure our model focuses on skills while avoiding bias.
🔹 Integrating Frontend & Backend – Connecting React, Java, and AI efficiently.
🔹 Handling Large File Uploads – Optimizing performance for bulk resume uploads.
🔹 Tight Hackathon Deadline – Building a working MVP within 24 hours.

💡 What’s Next?

We plan to refine EquiHire by:
✅ Enhancing AI explainability (why a resume ranks well).
✅ Adding real-time job market insights for recruiters.
✅ Expanding file type support for diverse resume formats.

With EquiHire, hiring is faster, fairer, and smarter. 🚀