Challenge 1b: Multi-Collection PDF Analysis

Overview

Advanced PDF analysis solution that processes multiple document collections and extracts relevant content based on specific personas and use cases.

Project Structure

Challenge_1b/
├── Collection 1/                    # Travel Planning
│   ├── PDFs/                       # South of France guides
│   ├── challenge1b_input.json      # Input configuration
│   └── challenge1b_output.json     # Analysis results
├── Collection 2/                    # Adobe Acrobat Learning
│   ├── PDFs/                       # Acrobat tutorials
│   ├── challenge1b_input.json      # Input configuration
│   └── challenge1b_output.json     # Analysis results
├── Collection 3/                    # Recipe Collection
│   ├── PDFs/                       # Cooking guides
│   ├── challenge1b_input.json      # Input configuration
│   └── challenge1b_output.json     # Analysis results
└── README.md

Collections

Collection 1: Travel Planning

• Challenge ID: round_1b_002
• Persona: Travel Planner
• Task: Plan a 4-day trip for 10 college friends to South of France
• Documents: 7 travel guides

Collection 2: Adobe Acrobat Learning

• Challenge ID: round_1b_003
• Persona: HR Professional
• Task: Create and manage fillable forms for onboarding and compliance
• Documents: 15 Acrobat guides

Collection 3: Recipe Collection

• Challenge ID: round_1b_001
• Persona: Food Contractor
• Task: Prepare vegetarian buffet-style dinner menu for corporate gathering
• Documents: 9 cooking guides

Input/Output Format

Input JSON Structure

{
  "challenge_info": {
    "challenge_id": "round_1b_XXX",
    "test_case_name": "specific_test_case"
  },
  "documents": [{"filename": "doc.pdf", "title": "Title"}],
  "persona": {"role": "User Persona"},
  "job_to_be_done": {"task": "Use case description"}
}

Output JSON Structure

{
  "metadata": {
    "input_documents": ["list"],
    "persona": "User Persona",
    "job_to_be_done": "Task description"
  },
  "extracted_sections": [
    {
      "document": "source.pdf",
      "section_title": "Title",
      "importance_rank": 1,
      "page_number": 1
    }
  ],
  "subsection_analysis": [
    {
      "document": "source.pdf",
      "refined_text": "Content",
      "page_number": 1
    }
  ]
}

Key Features

• Persona-based content analysis
• Importance ranking of extracted sections
• Multi-collection document processing
• Structured JSON output with metadata

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Note: This README provides a brief overview of the Challenge 1b solution structure based on available sample data.