Copyright Guardian

Inspiration

As digital artists and content creators increasingly share their work online, unauthorized use and theft have become major concerns. We wanted to build a platform that empowers artists by giving them control over their work, helping them track potential copyright infringements, and ensuring they receive proper recognition and compensation.

What it does

Copyright Guardian is a blockchain-based social media platform designed for artists to share their work while protecting it from web scrapers and unauthorized usage. It integrates Perplexity AI to help artists check if their artwork has been stolen and leverages TensorFlow ML models to enable music search, detecting parodies, speedups, slowdowns, and other modifications. Artists can also sell their work using ICP blockchain-based smart contracts, ensuring transparency and security.

How we built it

Frontend: Developed using React with a clean and intuitive UI.

Backend: Built with Node.js and integrated with Perplexity AI’s API for detecting copyright violations.

Machine Learning: Used TensorFlow models to analyze images and Resnet50 model to find similarities.

Challenges we ran into

Training ML models to detect minor modifications in artwork and audio while minimizing false positives.

Integrating blockchain transactions smoothly into a social media-like experience without compromising usability.

Ensuring accurate detection of stolen artwork across different platforms using Perplexity AI.

Optimizing API calls to balance performance and cost when verifying copyright violations.

Accomplishments that we're proud of

Successfully integrating Perplexity AI to track copyright infringements.

Building a secure and decentralized system using ICP blockchain to protect artists' rights.

Creating a user-friendly interface that simplifies copyright tracking and content selling.

Implementing a robust ML-powered music analysis tool that detects modified versions of an artist’s work.

What we learned

How to effectively use AI-driven search for detecting unauthorized content reuse.

The importance of balancing usability and security in blockchain applications.

How to train and fine-tune TensorFlow models for music and image recognition.

Best practices for integrating blockchain transactions into a mainstream application.

What's next for Copyright Guardian

Expanding AI capabilities to detect modifications in video content.

Implementing legal advisory features to help artists take action against copyright violations.

Enhancing community engagement by allowing artists to collaborate and share insights.

Adding multi-platform monitoring, enabling real-time tracking across major social media and art-sharing platforms.

Exploring partnerships with digital rights organizations to further support artists in protecting their work.

Copyright Guardian aims to revolutionize digital rights protection, ensuring that artists retain ownership and receive due credit for their creations.

Built With

• ai
• python
• typescript
• vite