DeepTrace

DeepTrace

Predicting what's true in a world of fakes

Created on 15th September 2024

DeepTrace

DeepTrace

Predicting what's true in a world of fakes

The problem DeepTrace solves

  • DeepTrace is an innovative blockchain-based platform designed to combat the growing issue of deepfake videos by leveraging advanced technology and ensuring user privacy. By utilizing the immutable and decentralized nature of blockchain, DeepTrace delivers a highly accurate and trustworthy solution for detecting and mitigating deepfake content worldwide.
  • Deepfakes, which are AI-generated or altered videos and images that convincingly mimic real people, pose significant threats to personal privacy, public trust, and even national security. The rapid advancement of deepfake technology has made it increasingly difficult to distinguish between real and fake media, leading to the spread of misinformation, fraud, and reputational damage.
  • DeepTrace addresses the growing problem of deepfakes by offering a comprehensive, technologically advanced solution designed to detect and prevent the misuse of manipulated media.

Features & Unique Approach of the Product:

  1. Multi-Model Analysis Approach(Essembled Learning): The platform employs a multi-model analysis strategy, combining insights from various AI models to achieve superior detection accuracy. This approach ensures that deepfakes are identified more reliably by cross-verifying results from different AI perspectives, reducing the risk of errors.
  2. Blockchain Verification: Unlike traditional methods, DeepTrace leverages blockchain technology to authenticate and store original media on a decentralized network. This approach ensures tamper-proof record-keeping, providing an immutable and transparent history of the content, which is crucial for verifying authenticity.

Challenges we ran into

Challenges Faced

  • The fast-evolving nature of deepfake technology could require constant updates to AI models, posing a risk if the platform doesn’t keep pace.
  • Blockchain scalability and integration will be difficult and onboarding people on blockchain technology should be user-intuitive.
  • As we are using Essemble based multi-model machine learning models , to achieve such novelty, as this is a very niche concept with limited resources it was very difficult to implement with limited knowledge, and hence required a lot of research.

How we overcome these Challenges?

  • We implemented a Multi-Model Approach to enhance the accuracy of our deepfake detection system. Additionally, by leveraging Ensemble Learning, we seamlessly integrate third-party models, ensuring our solution stays adaptive and competitive with the rapidly evolving deepfake technologies.
  • For seamless integration and user onboarding into blockchain, we are utilizing the SUI blockchain alongside ZK Login. ZK Login enables users to effortlessly create crypto wallets for SUI tokens using just their Gmail account, simplifying the onboarding process and enhancing accessibility to our product.

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