In today’s competitive job market, having a strong resume isn’t enough. It needs to match job requirements smartly and precisely. That’s where Resulyzer comes in — a smart AI-powered app that analyzes resumes and gives instant, helpful feedback.

🧠 What is Resulyzer?

Resulyzer is a web app that uses AI to:

Analyze resume content
Give improvement suggestions
Grade the resume on relevance, structure, and clarity

🛠️ Technologies Used

Frontend: React.js
Backend: Node.js + Express
AI Integration: Gemini api
Database: MongoDB
File Handling: PDF/Text extraction using pdf-parse
Hosting: Vercel and Render

🎯 Key Features

📄 Upload resume in PDF format
🧠 Get AI-powered feedback and score
✍️ Suggested edits and keyword hints
💾 Save reports for later use

⚙️ How I Built It

Frontend UI with upload
Used pdf-parse to read content from uploaded resumes
Sent resume + job description to the backend
Connected to Gemini API to process and analyze
Displayed the feedback neatly with charts and scores

😅 Challenges I Faced

Handling resume parsing with non-standard PDF formats
Tuning AI prompts to give meaningful feedback
Managing response time for large files
Making the UI simple but informative

💡 What I Learned

How to integrate AI (like Gemini) into real-world apps
Handling file uploads and text parsing in JavaScript
Importance of prompt engineering
Making meaningful UX for a productivity tool

📦 Live Demo & GitHub

🔗 Live: resulyzer.vercel.app
💻 GitHub: https://github.com/mangesh2006/Resulyzer.git

🚀 What’s Next?

Add multi-language resume support
Export feedback as PDF

🙌 Final Thoughts

Building Resulyzer was an exciting journey into AI + productivity tools. If you're a developer or job seeker, I’d love your feedback!

🗨️ Have thoughts or questions? Drop a comment below!

🤖 Resulyzer – An AI-Powered Resume Analyzer App