SpecMatch

SpecMatch: Match system requirements to specifications

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Inspiration

Comparing system requirement docs with their respective design specification docs is a time-consuming and arduous task in systems engineering. We created SpecMatch to reduce the friction in cross-checking requirements and specifications. Our AI-powered backend automates the task of identifying relationships between requirements and specs, and our user-friendly UI makes it easy to visualize these relationships.

You can view our video demo at: https://www.loom.com/share/d89d3a71ffa544bebbb59b1b39013ac8

What it does

SpecMatch is an intelligent PDF requirement analysis tool that:

  • Automatically extracts requirements from PDF documents
  • Matches requirements between different documents with confidence scoring
  • Highlights matching text in interactive PDF viewers
  • Provides clear visualization of requirement relationships
  • Focuses on high-confidence matches to ensure accuracy
  • Enables quick navigation between related requirements

How we built it

  • Frontend: React with TypeScript for a responsive, interactive UI
  • Backend: Python with FastAPI for efficient API handling
  • AI Integration: Claude API for intelligent requirement extraction and matching
  • PDF Processing: pdf js for document rendering and text extraction

Challenges we ran into

  • Ensuring accurate requirement extraction from various PDF formats
  • Implementing reliable text matching with proper confidence scoring
  • Managing state between multiple PDF viewers
  • Handling large PDF files efficiently
  • Creating an intuitive UI for complex document comparison
  • Balancing between showing all matches and maintaining accuracy

Accomplishments that we're proud of

  • Successfully implementing AI-powered requirement extraction
  • Creating an intuitive interface for document comparison
  • Achieving high accuracy in requirement matching
  • Building a responsive and user-friendly PDF viewer
  • Implementing real-time highlighting of matching text
  • Creating a system that saves significant time in document comparison

What we learned

  • Advanced PDF processing techniques
  • Integration of AI services for document analysis
  • State management in complex React applications
  • Best practices for handling large documents
  • Importance of user experience in technical tools
  • Effective ways to present complex data relationships

What's next for SpecMatch

  • Add support for more document formats (Word, Excel)
  • Implement collaborative features for team usage
  • Add export functionality for requirement reports
  • Enhance AI matching with more context awareness
  • Add batch processing for multiple documents
  • Implement version control for requirement tracking
  • Add custom confidence level thresholds
  • Develop API for integration with other tools

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