What is SCET?

SCET (Smart Copyright Expiry Tag) is an advanced AI-based system designed to analyze, predict, and display copyright status information for creative works, intellectual property, and digital content. Unlike traditional copyright databases that rely on static information, SCET uses artificial intelligence to dynamically collect, process, and interpret copyright data from multiple authoritative sources.

Research Objective

The primary research objective of SCET is to develop an intelligent system that can:

  • Automate Copyright Detection: Automatically identify and classify copyright status without manual intervention
  • Predict Expiry Dates: Calculate copyright expiration based on international copyright laws and jurisdiction-specific rules
  • Provide Legal Insights: Offer confidence scores and reasoning to help users understand copyright complexities
  • Support Multiple Jurisdictions: Handle copyright analysis for different countries and legal frameworks
  • Enable Real-Time Updates: Continuously update copyright information as laws change and works enter public domain

Key Features

🔍

AI-Based Title Search

Search by title, creator name, or keywords. AI intelligently matches your query with copyright records.

🌐

Live Data Collection

Dynamically collects metadata from Open Library, Wikipedia, MusicBrainz, and more. No static datasets used.

🧠

Machine Learning

Self-improving ML model that learns from searches and feedback. Accuracy increases over time.

⚖️

Legal Rule Engine

Applies copyright rules based on jurisdiction, publication year, and creator status.

📊

Confidence Scoring

Every analysis includes a confidence score so you know how reliable the prediction is.

🔄

Auto-Updating

Tags automatically update as data is verified and copyright status changes.

📋 Novelty Statement

"This system does not rely on pre-existing datasets. It uses AI-based live data acquisition and machine learning to dynamically infer copyright status and expiry, making it adaptive, scalable, and legally informative."

Use Cases

📚 Publishers & Authors

Verify copyright status before republishing classic works

🎬 Media Companies

Check rights availability for film and TV adaptations

🎓 Researchers

Analyze copyright trends and public domain transitions

⚖️ Legal Professionals

Quick reference for copyright due diligence

Technology Stack

SCET is built using modern web technologies and AI frameworks:

  • Frontend: HTML5, CSS3, JavaScript (ES6+)
  • Backend: Python FastAPI for serverless API functions
  • AI/ML: Natural Language Processing for semantic search
  • Data Sources: Open Library, Wikipedia, Copyright Offices, MusicBrainz
  • Deployment: Vercel Edge Network for global CDN