Live in Production

ResumeIQ

AI-powered resume analyzer & optimizer

// overview

About this project

Analyzes resumes against job descriptions using Claude API, gives ATS compatibility scores, and surfaces targeted improvements. Built with Next.js 14 + Supabase storage for resume uploads.

2026SAAS

📊 94%

ATS Match Accuracy

📊 12+

Resume Sections

📊 <3s

Avg Analysis Time

// tech_stack

Technologies used

Next.JS

React

PostgreSQL

Prisma ORM

Tailwind CSS

Claude API

GitHub

// features

What it does

01
Claude AI resume parsing with section-by-section ATS scoring
02
Job description keyword extraction and gap analysis
03
Targeted rewrite suggestions for weak bullet points
04
PDF and DOCX format support with structure preservation
05
User accounts with saved analysis history via Supabase Auth
06
Real-time streaming feedback as analysis processes

// challenges_and_solutions

Challenges & Solutions

Consistent AI Output

Enforced a strict JSON schema in the Claude system prompt — parsing failures dropped to <0.5% across thousands of analyses without post-processing hacks.

PDF Structure Extraction

Built a structured text pipeline that preserves section headers, bullet hierarchies, and date ranges before feeding to Claude — preventing misclassified resume content.

// screenshots