Resume Analyzer System Requirements Document

Introduction

The Resume Analyzer is an AI-powered web application designed to assist job seekers in optimizing their resumes for specific job descriptions. This document outlines the system requirements for enhancing the Resume Analyzer to include comprehensive career optimization features.

System Overview

The Resume Analyzer provides users with the ability to upload resumes in various formats (PDF, DOCX, TXT) and compare them against job descriptions. The application offers features such as ATS scoring, keyword matching analysis, skill assessment, AI-driven resume enhancements, feedback, and personalized recommendations. It also generates a downloadable report, positioning itself as a complete career optimization platform.

Functional Requirements as Story Points

• As a User, I should be able to upload my resume in PDF, DOCX, or TXT format.
• As a User, I should be able to input a job description to compare against my resume.
• As a User, I should receive an ATS score indicating how well my resume matches the job description.
• As a User, I should receive a keyword matching analysis to identify relevant and missing keywords.
• As a User, I should receive an assessment of my skills, highlighting missing and irrelevant skills.
• As a User, I should receive AI-powered suggestions for resume improvements.
• As a User, I should receive rewritten bullet points for better clarity and impact.
• As a User, I should receive section-wise feedback on my resume.
• As a User, I should receive detection of filler words and suggestions for removal.
• As a User, I should receive personalized recommendations for certifications, projects, and experience.
• As a User, I should be able to download a comprehensive report of the analysis and recommendations.

User Personas

• Job Seeker: Individuals looking to optimize their resumes for specific job applications.
• Career Coach: Professionals assisting job seekers in improving their resumes and career prospects.

Core User Flows

1. Job Seeker uploads resume -> inputs job description -> receives ATS score and analysis -> views AI-driven enhancements -> downloads report.
2. Career Coach reviews client's resume -> inputs job description -> analyzes feedback and recommendations -> advises client on improvements.

Visuals Colors and Theme

• primary: #1E90FF (Dodger Blue)
• primary_light: #63B8FF (Light Sky Blue)
• secondary: #FF6347 (Tomato)
• accent: #32CD32 (Lime Green)
• highlight: #FFD700 (Gold)
• bg: #F5F5F5 (White Smoke)
• surface: rgba(255, 255, 255, 0.9)
• text: #333333 (Dark Gray)
• text_muted: #777777 (Gray)
• border: rgba(0, 0, 0, 0.1)

Signature Design Concept

Interactive Resume Journey: The homepage features an animated journey of a resume traveling through various stages of optimization. Users can click on different stages (e.g., ATS scoring, keyword analysis) to see detailed animations of how their resume is transformed. The journey is depicted as a flowing path with dynamic elements representing each feature. Using motion/react, the path animates continuously, showing resumes being enhanced and refined in real-time. Users can hover over elements for more information, and the path adapts to different screen sizes, ensuring a seamless experience across devices.

Landing Hero Motion Brief

The landing page showcases a resume entering a digital "optimization machine," where it undergoes visible transformations. The resume is scanned, keywords are highlighted, and sections are rearranged, culminating in a polished, professional document. This loop, lasting 10 seconds, uses motion/react for smooth transitions and interactions. Users can interact with the animation to pause and explore specific enhancements.

Interaction Model & Motion Direction

• Intended Interaction Model: Animated
• The landing page features moderate scroll-triggered reveals and hover transitions. Interactive elements use spring physics to enhance user engagement. Each section of the landing page has a unique interactive mechanic, such as morphing SVGs or kinetic typography, to maintain user interest and convey information effectively.

Non-Functional Requirements

• The system should support high availability and scalability to handle multiple users simultaneously.
• The application must ensure data privacy and secure handling of user resumes.
• The system should provide a responsive design for accessibility on various devices.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB
• AI Models: GPT 5.4 for user-friendly responses, Claude Sonnet 5 for academic or coding work
• AI Tools: Litellm for LLM Routing, Langchain
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The application assumes users have basic digital literacy to upload resumes and interpret analysis results.
• The system is constrained by the need to comply with data protection regulations applicable in India.

Glossary

• ATS: Applicant Tracking System, a software application that enables the electronic handling of recruitment needs.
• AI: Artificial Intelligence, the simulation of human intelligence processes by machines.
• Resume Optimization: The process of enhancing a resume to improve its chances of passing through an ATS and appealing to hiring managers.