mega-ai System Requirements Document

1. Introduction

The project "mega-ai" is focused on developing a Mini AI Resume Analyzer. This system will provide users with the ability to upload resumes and receive analysis reports, leveraging AI technology to offer insights and feedback.

2. System Overview

The mega-ai project aims to create an automated resume analysis tool that allows users to upload resumes and receive detailed analysis reports. The system will be accessible through a public entry interface, ensuring ease of use for all users.

2a. Product Interpretation and Delivery Boundary

• Domain Descriptor: Automated Resume Analysis

  • Source Evidence: The product is intended to analyze resumes using AI to provide insights or feedback.
  • Confidence: 0.9

• What is being built: A Mini AI Resume Analyzer that focuses on analyzing resumes and providing insights.

• Excluded Assumptions:

  • Generic HR management features
  • User account management

• First-party Custom Pages:

  • Resume Analyzer: Main interface for users to upload and analyze resumes.

• Access: Public entry surface; no application-owned identity required.

• Behavior Contracts:

  • ID: behavior-faa22d25f86c4514
  • Name: Analyze Resume
  • Actor: User
  • Trigger: User uploads a resume for analysis
  • Inputs: Resume file
  • Outcomes: Analysis report generated
  • State Changes: None
  • State Lifetime: None
  • Identity Continuity: None
  • Audience Entry: Public
  • Human Touchpoints: Upload interface
  • Failure Outcome: Analysis fails due to unsupported format
  • Access Owner: Application

2c. Page Content and Component Coverage

• Resume Analyzer Page:
  • Information: Instructions for uploading resumes, supported file formats.
  • Actions: Upload resume, view analysis report.
  • Domain Entities: Resume file, analysis report.
  • Component Responsibilities:
    • File upload component
    • Analysis report display
  • Supporting Context: Explanation of analysis process, benefits of using AI for resume analysis.
  • States:
    • Empty: No resume uploaded.
    • Loading: Resume is being analyzed.
    • Success: Analysis report available.
    • Error: Unsupported file format or analysis failure.

3. Functional Requirements as Story Points

• As a User, I should be able to upload a resume for analysis. basic_default
• As a User, I should receive an analysis report after uploading a resume. basic_default
• As a User, I should be informed if the resume format is unsupported. required_inference

4. User Personas

• User: The primary user interacting with the resume analyzer. They upload resumes and receive analysis reports.

5. Core User Flows

1. User Uploads Resume:

   • Navigate to the Resume Analyzer page.
   • Upload a resume file.
   • Receive confirmation of upload.
   • Wait for analysis to complete.
   • View the analysis report.

2. Error Handling:

   • Navigate to the Resume Analyzer page.
   • Upload an unsupported resume format.
   • Receive an error message indicating unsupported format.

6. Visuals Colors and Theme

• Primary: #007BFF
• Primary Light: #66B2FF
• Secondary: #6C757D
• Accent: #FFC107
• Highlight: #28A745
• Background: #F8F9FA
• Surface: #FFFFFF
• Text: #212529
• Text Muted: #6C757D
• Border: #DEE2E6

7. Signature Design Concept

The Resume Analyzer page will feature a clean and professional design, focusing on usability and clarity. The page will have a prominent file upload section, with clear instructions and feedback messages. The analysis report will be displayed in a structured format, highlighting key insights and feedback.

8. Interaction Model & Motion Direction

• Interaction Model: Animated
  • The Resume Analyzer page will feature moderate scroll-triggered reveals and hover transitions to enhance user engagement.
  • The file upload component will have spring physics for interactive elements.

9. Non-Functional Requirements

No additional non-functional requirements were inferred beyond the core functionality of resume analysis.

10. Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MongoDB
• AI Models: GPT 5.4 for user-friendly response
• AI Tools: Litellm for LLM Routing, Langchain
• Local Orchestration: Docker, docker-compose

11. Assumptions and Constraints

• The system will not include user account management or generic HR management features.
• The resume analysis will be limited to supported file formats.

12. Glossary

• Resume Analyzer: The main interface for users to upload and analyze resumes.
• AI: Artificial Intelligence, used for analyzing resumes and generating reports.
• Analysis Report: The output generated after analyzing a resume, providing insights and feedback.