Inspiration
The job application process today is extremely competitive, and many candidates get rejected before a recruiter even sees their resume because of Applicant Tracking Systems (ATS). Many students and fresh graduates don’t understand why their resumes fail or how to improve them.
This project was inspired by the need to help candidates understand their resume quality, identify missing skills, and apply to jobs more strategically. The goal was to build an AI-powered platform that analyzes resumes, provides improvement suggestions, and intelligently matches candidates with relevant jobs.
By combining resume analysis, job matching, and recruiter tools in one platform, the system aims to bridge the gap between job seekers and hiring companies.
What it does
The AI Resume Analyzer & Intelligent Job Match Platform is a SaaS web application that helps candidates improve their resumes and discover better job opportunities using AI-driven insights.
Candidate Features
- Upload resume files (PDF or DOCX)
- Receive an AI resume score (0–100)
- Detect ATS compatibility issues
- Extract technical and soft skills
- Identify skill gaps
- Get AI-powered resume rewrite suggestions
- Discover AI-matched job listings
Recruiter Features
- Post job openings
- Define required skills and experience
- Automatically rank candidates using AI compatibility scoring
- Filter and shortlist applicants
Admin Features
- Manage platform users
- Monitor system analytics
- Track AI usage and platform performance
How we built it
The platform was built using a modern front-end architecture with simulated AI systems to replicate real recruitment workflows.
Frontend
- React 18
- TypeScript
- Vite
UI & Styling
- Tailwind CSS
- Glassmorphism UI
- Framer Motion animations
- GSAP motion effects
State Management
- Zustand with localStorage persistence
Data Visualization
- Recharts for analytics dashboards
- Radar charts for skill analysis
File Upload
- React Dropzone for resume uploads
AI Simulation
The resume scoring system conceptually follows:
$$ Score = \frac{SkillMatch + ATSQuality + ExperienceRelevance}{3} $$
Where:
- SkillMatch represents overlap between job and resume skills
- ATSQuality measures formatting and keyword compatibility
- ExperienceRelevance evaluates alignment with job requirements
Challenges we ran into
One of the biggest challenges was designing a professional SaaS-style user interface while keeping performance optimized. Implementing animations such as particle backgrounds, glassmorphism cards, and motion transitions required careful performance tuning.
Another challenge was building a realistic AI simulation engine that could generate believable resume scores, skill extractions, and job compatibility results without using real AI APIs.
The project also includes three different dashboards (candidate, recruiter, and admin), which required careful architecture planning to maintain reusable components and scalable code.
What we learned
Through building this platform, I learned how to:
- Design scalable React applications
- Build SaaS dashboard interfaces
- Implement advanced UI animations
- Manage global state efficiently with Zustand
- Structure complex front-end architectures
- Simulate AI-powered systems for real-world workflows
This project helped deepen my understanding of how recruitment platforms and resume analysis tools work in real-world hiring ecosystems.
Built With
Languages
- TypeScript
- JavaScript
- HTML
- CSS
Frameworks & Libraries
- React 18
- Vite
- Tailwind CSS
- Framer Motion
- GSAP
- Recharts
Tools & Platforms
- Zustand
- React Router
- React Dropzone
- Lucide Icons
- Three.js (optional)
Try it out
Live Demo https://gvxxpt599a.youware.app
Built With
- 18
- cannon.js
- css
- css3
- dom
- dropzone
- framer
- gsap
- html5
- icons
- javascript
- lucide
- motion
- react
- recharts
- router
- tailwind
- three.js
- typescript
- vite
- zustand
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