Case StudyAI

AI-Powered ATS Resume Builder

AI-driven resume optimization & ATS compatibility analysis

#react#typescript#tailwind#gemini-api
AI-Powered ATS Resume Builder showcase

Project Overview

An intelligent platform that analyzes candidate resumes against job descriptions, evaluates ATS compatibility, and uses Google Gemini AI to generate impact-focused bullet points and keyword enhancements.

⚠️ The Problem

Job seekers struggle to optimize their resumes for automated Applicant Tracking Systems (ATS), resulting in rejected applications despite strong candidate qualifications.

💡 The Solution

Built a web application leveraging LLM APIs (Google Gemini) to analyze resume text against specific target job descriptions, delivering instant scoring breakdown and contextual recommendations.

Key Features & Capabilities

  • AI resume content analysis powered by Google Gemini 3.5 Flash
  • Job-description matching & real-time ATS compatibility scoring
  • Automated bullet point generation and action-verb enhancement
  • Instant PDF preview and print-ready document export
  • Responsive stateful dashboard built with React 18 & TypeScript

Technical Challenges & Engineering Decisions

01

Crafting deterministic prompts to receive structured JSON feedback from LLMs for scoring calculations

02

Managing complex nested resume state without compromising frontend rendering performance

03

Ensuring precise CSS print layout styling for seamless single-page and two-page PDF exports

Project Metadata

Role

Lead Full-Stack Developer

Category

AI

Core Stack

reacttypescripttailwindgemini-api

High-Level Flow

React Frontend (Vite + TypeScript) → Gemini AI Prompt Pipeline → Dynamic Scoring Engine → PDF Layout Renderer