Organize candidate information
The application brings résumé analysis into a dedicated hiring interface.
Case study / 02 — AI · VEO Hackathon
CVSense AI.
Helping hiring teams turn a stack of résumés into a clearer shortlist.
The starting point
Project overview
A hackathon prototype that uses the OpenAI API to read a batch of résumés and present each candidate in the same structured format, so a hiring team can compare them side by side.
The context
Reviewing a large collection of résumés involves organizing candidate information and comparing it consistently. CVSense AI explores how AI-assisted analysis can support that workflow.
Ownership
My contribution
Built as a two-person team during the hackathon. I worked across the full stack, from the review interface to the OpenAI integration and data layer. Update this line with the parts you owned.
From problem to product
The approach
Support the review process
AI-assisted analysis helps surface information for the hiring team to review.
Under the surface
Technical building blocks
Interface
Next.js · React · Tailwind CSS
The web interface for the résumé review workflow.
Application data
PostgreSQL · Prisma · Auth.js
Data access and authentication for the application.
Analysis
OpenAI API
AI capabilities used in the résumé analysis workflow.
A closer look
In the product
01 / 08
What it brings together
Project highlights
- Upload résumés and extract candidate information into a consistent profile
- AI-generated summaries and criteria-based scoring for every candidate
- Comparison view for reviewing a shortlist against the same set of criteria
- Authenticated workspace with candidate data persisted in PostgreSQL
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