Make feedback actionable
The product combines resume scoring with improvement suggestions, so the output includes a next step alongside the assessment.
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AI / Full Stack / 2025
Resumit.
A resume should be easier to improve than to second-guess. Resumit brings scoring, feedback, and next steps into one product.
What I owned
From the first decision
to the shipped product.
Solo AI product: React interface, Python processing, OpenAI integration, and deployment on Vercel.
Look closer / Interface notes
The decisions,
right there on screen.
Select a numbered detail to explore it.
Interface → processing
An explicit first step
Run Free Analysis and Match & Fix expose two clear starting points. The React interface connects resume assessment to the Python and OpenAI processing behind the product.
Existing product screenshot. The match score and keyword bars are illustrative content shown in the interface, not measured portfolio results.
A little less magic. A little more engineering.
Inside the build.
Pull the product apart. See what each layer contributes.
Selected layer / Interface
A clear place to start.
The React interface brings the resume assessment and improvement workflow together. In this illustrative sample, the visitor sees their material beside the next action.
Sample input: “Built a reporting dashboard.”A fixed example. Nothing is uploaded or sent to an AI service.
Product decisions
Connect assessment to presentation
Template recommendations complement the feedback, bringing content and presentation into the same workflow.
The shipped work
The shipped demo includes resume scoring, LLM feedback, improvement suggestions, and template recommendations. Explore it using the live link.