System Requirements Document for super-complete

1. Introduction

The super-complete project is an AI-powered Resume Analyzer web application designed to assist job seekers and professionals in enhancing their resumes. The application provides a modern, user-friendly interface that analyzes resumes against job descriptions, offering ATS-style scores, skill extraction, and personalized improvement suggestions. The target audience includes job seekers and professionals looking for supportive and professional guidance in resume improvement.

2. System Overview

The AI-powered Resume Analyzer is a web application that allows users to upload their resumes in PDF format, analyze them against job descriptions, and receive detailed feedback and suggestions for improvement. The application features a responsive dashboard, authentication mechanisms, and a robust backend powered by AI/ML agents. It ensures secure data handling and provides a comprehensive set of documentation for users and developers.

2a. Product Interpretation and Delivery Boundary

The application is delivered as a web-based platform with a frontend built using React.js and Tailwind CSS, and a backend using Python FastAPI. It requires user authentication via JWT and securely handles user data with PostgreSQL. The application is designed to be deployed using Docker and supports both local and production environments. The project scope includes creating a complete project plan and architecture before implementation, ensuring a clean and production-oriented structure.

2b. Source Content Inventory

Not applicable as no content source directive was provided.

2c. Page Content and Component Coverage

Landing

• Information/State: Introduction to the Resume Analyzer, its purpose, and benefits.
• Primary Actions: Navigate to login or registration.
• Components: Hero section with headline and CTA, introduction text.
• States: Loading, success.

login

• Information/State: User authentication.
• Primary Actions: Enter credentials, submit login.
• Components: Login form, error messages.
• States: Loading, success, error.

registration

• Information/State: User account creation.
• Primary Actions: Enter registration details, submit registration.
• Components: Registration form, validation messages.
• States: Loading, success, error.

dashboard

• Information/State: User's resume analysis overview.
• Primary Actions: View score cards, charts, navigate to other pages.
• Components: Score cards, charts, navigation links.
• States: Loading, success, empty (no data).

Resume Upload

• Information/State: Upload and validate resumes.
• Primary Actions: Select file, upload resume.
• Components: File upload input, validation messages.
• States: Loading, success, error.

Job Descriptions

• Information/State: Manage job descriptions for comparison.
• Primary Actions: Add, edit, delete job descriptions.
• Components: Job description form, list of descriptions.
• States: Loading, success, error.

Analysis

• Information/State: Detailed resume analysis results.
• Primary Actions: Run analysis, view results.
• Components: Analysis results, recommendations, explanations.
• States: Loading, success, error.

Reports

• Information/State: Access and generate analysis reports.
• Primary Actions: Generate report, view past reports.
• Components: Report list, report generation button.
• States: Loading, success, error.

3. Functional Requirements

1. As a Resume User, I should be able to register an account to access the application and upload resumes. (Provenance: explicit)
2. As a Resume User, I should be able to log in using my credentials to access my dashboard and analysis results. (Provenance: explicit)
3. As a Resume User, I should be able to upload a PDF resume for analysis. (Provenance: explicit)
4. As a Resume User, I should receive an ATS-style score and improvement suggestions after my resume is analyzed. (Provenance: explicit)
5. As a Resume User, I should be able to view charts and score cards on my dashboard for a visual representation of my resume analysis. (Provenance: explicit)
6. As a Resume User, I should be able to manage job descriptions to compare against my resume. (Provenance: explicit)
7. As a Resume User, I should be able to generate and view analysis reports for my resumes. (Provenance: explicit)
8. As a system, I should securely authenticate users using JWT and hash passwords. (Provenance: explicit)
9. As a system, I should validate uploaded files to ensure they are in PDF format and prevent unauthorized access. (Provenance: explicit)
10. As a system, I should execute AI agents in sequence to analyze resumes and generate results. (Provenance: explicit)

4. User Personas

• Resume User: Responsible for registering or logging in, uploading resumes, providing job descriptions, and reviewing analysis reports, scores, and recommendations.

5. Core User Flows

Resume User Registration and Login

1. Trigger: User navigates to the registration page.
2. Action: User enters registration details and submits the form.
3. Outcome: User account is created, and the user is redirected to the login page.
4. Continuation: User logs in using credentials.

Resume Upload and Analysis

1. Trigger: User logs in and navigates to the Resume Upload page.
2. Action: User selects and uploads a PDF resume.
3. Outcome: Resume is validated and uploaded successfully.
4. Continuation: User navigates to the Analysis page to run the analysis.

Job Description Management

1. Trigger: User navigates to the Job Descriptions page.
2. Action: User adds or edits job descriptions.
3. Outcome: Job descriptions are saved and associated with resumes.
4. Continuation: User proceeds to analyze resumes against job descriptions.

Viewing Analysis Results and Reports

1. Trigger: User navigates to the Analysis page.
2. Action: User runs the analysis and views results.
3. Outcome: User receives ATS score, skills found, missing skills, and improvement suggestions.
4. Continuation: User generates and views reports on the Reports page.

6. Visuals Colors and Theme

• Muse: Haraldur Thorleifsson
• Palette:
  • Background: #FEF9E7
  • Surface: #FFFFFF
  • Text: #1D1D1D
  • Primary: #FF6F61
  • Accent: #FFC107
  • Muted: #BDBDBD
• Typography:
  • Headings: Sora — Bold, large scale, positive letter spacing, sentence case
  • Body: Outfit
  • Scale: 1.5 modular, 48/32/24/18/16
• Shape Language: Chunky rounded cards with color-blocked sections
• Layout: Generous margins, color-blocked sections, illustration-led heroes
• Imagery: Custom character and spot illustration, bold iconography

7. Signature Design Concept

The public entry page features a full-width color-blocked hero with a large, friendly headline in Sora over a vibrant background. It includes an inviting upload icon and a clear CTA button in accent color. Custom character illustrations dynamically present resume tips, and bold color highlights are used for ATS scores and improvement suggestions.

8. Interaction Model & Motion Direction

• Interaction Model: Animated
• Motion Tempo: Expressive
• Hero Dimensionality: Layered_2d
• Landing Hero Motion Brief: The hero section features a large, friendly headline with a dynamic upload icon. Upon user interaction, the icon animates with a lively entrance, transforming into a CTA button that encourages resume uploads. The motion vocabulary includes hover pops and character loops, with a reduced-motion state for accessibility.

9. Non-Functional Requirements

1. Security: Use JWT for authentication and securely hash passwords. Validate uploaded files and prevent unauthorized access to user data.
2. Performance: Ensure the application is responsive and can handle multiple concurrent users.
3. Scalability: Design the system to accommodate future growth in user base and data volume.
4. Usability: Provide a user-friendly interface with clear navigation and feedback.

10. Tech Stack

• Frontend: React.js, Tailwind CSS
• Backend: Python FastAPI
• Database: PostgreSQL
• Containerization: Docker, docker-compose
• Authentication: JWT

11. Assumptions and Constraints

• The frontend must use React.js and Tailwind CSS.
• The backend must use Python FastAPI.
• The database must be PostgreSQL.
• Resume uploads must be PDF files and validated.
• Authentication must use JWT, and passwords must be securely hashed.
• Users must not access another user's resume.
• The system must use the specified specialized AI agents where appropriate and explain their communication.
• Dockerfiles, docker-compose, environment configuration, tests, README, architecture documentation, API documentation, database schema documentation, and deployment guidance are required.
• The project must be planned and architected before step-by-step implementation.
• The implementation must be clean and production-oriented.

12. Glossary

• ATS: Applicant Tracking System, a software application that enables the electronic handling of recruitment and hiring needs.
• JWT: JSON Web Token, a compact, URL-safe means of representing claims to be transferred between two parties.
• Resume User: A user persona responsible for interacting with the application to upload resumes and receive analysis.