Transform the way resumes are analyzed with AI intelligence, seamless cloud storage, and a modern user experience.
Upload, manage, and evaluate resumes in seconds—anytime, anywhere.
- ⚛️ React – Component-driven UI with a blazing-fast virtual DOM.
- 🛣️ React Router v7 – Nested routes, data loaders/actions, error boundaries, and SSR support.
- ☁️ Puter.com – Open-source internet OS for secure personal cloud storage and apps.
- 🔑 Puter.js – Browser-native SDK for auth, storage, DB, and AI—no backend needed.
- 🎨 Tailwind CSS – Utility-first styling for modern, responsive UIs.
- 🟦 TypeScript – Safer, large-scale development with static types.
- ⚡ Vite – Instant dev server, HMR, and Rollup-powered builds.
- 🐻 Zustand – Tiny, performant global state management.
- ✨ AI-Driven Resume Analysis: Get ATS-style scores and tailored feedback against job listings.
- 📂 Smart Resume Storage: Upload and organize resumes securely in the cloud.
- 🔐 Zero-Config Auth: Handle sign-in directly in the browser via Puter.js (no backend).
- 📱 Responsive UI: Works beautifully across desktop, tablet, and mobile.
- ♻️ Reusable Components: Clean, modular UI patterns for fast development.
- 🎨 Modern UI/UX: Tailwind CSS + shadcn/ui for sleek, accessible design.
- ⚡ Performance-Focused: Vite + Zustand keep things fast and simple.
Many applicants struggle to tailor their resumes to specific job descriptions and often get filtered out by Applicant Tracking Systems (ATS) despite having the necessary skills. ApplyAI was created to address this challenge by providing AI-powered insights that help users optimize their resumes and increase their chances of landing interviews.
For example, Jane, a recent software engineering graduate, had applied to several backend developer roles but received few interview calls. Using ApplyAI, she uploaded her resume and the job description for a position she was interested in. The AI analyzed her resume against the job posting and provided an ATS score of 65 out of 100, along with actionable feedback highlighting missing skills, formatting issues, and keyword gaps.
Following the recommendations from ApplyAI, Jane updated her resume by adding relevant keywords, reorganizing sections, and emphasizing key experiences. After making these improvements, her ATS score rose to 92 out of 100. Within two weeks, she received three interview invitations, demonstrating the effectiveness of applying AI-driven insights to optimize resumes.
This case study illustrates how ApplyAI empowers job seekers by combining intelligent analysis with practical, actionable feedback. By using ApplyAI, applicants can better understand ATS filtering, tailor their resumes to specific roles, and improve their overall chances of success in the competitive job market.
This project was built with the guidance of JavaScript Mastery tutorials, which provided excellent resources for modern web development practices.