I built an AI-powered resume builder to explore how modern AI tools can improve resume creation while keeping users in control of their own information.
This post covers the architecture, challenges, and lessons learned while building the application.
Tech Stack
The application was built using:
- Next.js
- TypeScript
- PostgreSQL
- Prisma ORM
- AI APIs
- Authentication
- Server-side PDF generation
Features
Some of the main features include:
- AI-assisted resume improvement
- User authentication
- Resume creation and editing
- PDF export
- Structured resume sections
- Responsive user interface
Architecture Overview
The application follows a modern full-stack architecture.
Frontend
The frontend is built with Next.js and TypeScript, providing:
- Component-based UI
- Type safety
- Reusable components
- Improved developer experience
Backend
The backend handles:
- Data persistence
- User management
- Resume processing
- AI requests
Prisma is used as the ORM to communicate with PostgreSQL while keeping database operations structured and maintainable.
Challenges
Preventing AI hallucinations
One of the biggest challenges when building AI-powered applications is ensuring the model does not create information that the user never provided.
To solve this, I focused on:
- Clear prompting
- Passing existing user information as context
- Asking the AI to improve wording instead of inventing experience
Generating professional documents
A resume is not only about text. The final output needs to be readable and professionally formatted.
I implemented PDF generation to allow users to export their resumes easily.
What I Learned
Building this project improved my understanding of:
- Integrating AI into full-stack applications
- Designing database-driven systems
- Working with ORMs
- Handling user-generated content
- Building production-ready features
Why I Built This
I wanted to explore how AI could assist with a common career challenge: presenting experience clearly and professionally.
The goal was not to replace the user, but to create a tool that helps users improve their own content while keeping the final decisions in their hands.
Final Thoughts
AI-powered tools are becoming increasingly useful for improving everyday workflows.
This project helped me explore how AI can enhance productivity while keeping users in control of their own information.
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