Inspiration
Applying for jobs today is surprisingly fragmented. One website helps improve resumes, another checks ATS compatibility, another prepares you for interviews, and yet another tracks applications. We wanted to build something that brings the entire job search journey into one place.
The idea behind CareerOS AI was simple: instead of giving job seekers another standalone AI tool, why not build a personal career operating system that helps them from the moment they upload their resume until they land an offer?
What it does
CareerOS AI is an AI-powered platform that helps candidates throughout their job search.
It allows users to:
- Upload and manage resumes securely
- Analyze resumes for ATS compatibility
- Generate AI-powered resume improvements
- Identify missing skills and learning gaps
- Prepare for interviews with personalized questions
- Track job applications visually
- Maintain different resume versions
- Keep everything organized in a single dashboard
The goal is to eliminate the need to switch between multiple tools while applying for jobs.
How we built it
We built CareerOS AI using a modern full-stack architecture.
Frontend
- Next.js
- React
- TypeScript
- Tailwind CSS
- Framer Motion
- Recharts
- Radix UI
Backend
- Supabase Authentication
- PostgreSQL
- Supabase Storage
- Row Level Security (RLS)
AI
- OpenAI APIs
- Resume optimization
- ATS analysis
- Interview preparation
- Learning roadmap generation
We also structured the project with reusable hooks, modular components, secure authentication, database migrations, and a scalable architecture so new features can be added easily.
Challenges we ran into
One of the biggest challenges was moving from a prototype to something that felt like a real SaaS application.
We had to replace demo data with authenticated user data, design secure database policies, manage resume uploads through Supabase Storage, handle migrations, and make sure every user's data stayed completely isolated.
Another challenge was keeping the UI simple while supporting multiple AI-powered workflows without making the experience feel overwhelming.
Accomplishments that we're proud of
- Built an end-to-end AI career platform instead of solving just one problem.
- Created a clean and responsive dashboard that keeps everything in one place.
- Integrated secure authentication and per-user data isolation.
- Designed reusable components and scalable project architecture.
- Connected multiple AI workflows into a single user experience.
What we learned
This project taught us that building AI features is only one part of creating a useful product. A great user experience also depends on solid architecture, secure data handling, responsive design, and thoughtful workflows.
We also gained hands-on experience with Supabase, authentication, database migrations, AI integration, and building production-ready React applications.
What's next for CareerOS AI
We're planning to continue improving CareerOS AI with features such as:
- AI-generated cover letters
- Browser extension for one-click job analysis
- GitHub portfolio evaluation
- LinkedIn profile optimization
- Personalized career coaching
- Recruiter collaboration tools
- Smarter job recommendations
- Better analytics for application tracking
Our long-term vision is to make CareerOS AI a complete career companion that supports users throughout their professional journey, not just during a single job search.
Built With
- eslnit
- framer
- github
- javascript
- next.js
- node.js
- postcss
- postgre
- radix
- react
- restapi
- sqlite
- supabase
- tailwind
- typescript
- vercel
