What is the "DeepFake Detection DApp" project?

Detecting DeepFake Images using Decentralized Network. It was created by Pranav Kumar Pandey, a student developer, as a portfolio piece. Read the full project details on PrepLinc.

What technologies were used to build DeepFake Detection DApp?

The project utilizes a modern tech stack, including: Solidity, Python, PINATA, IPFS, React, Hashing, CNN. You can find more implementation details on the page.

Is the source code for DeepFake Detection DApp available?

Yes, the complete source code is available on GitHub. You can access the repository for DeepFake Detection DApp here .

DeepFake Detection DApp Project

Our project aims to tackle the challenges posed by deepfake technology to media authenticity by leveraging the combined power of blockchain and machine learning.

Deepfake Detection: Uploaded media is analyzed by three backend nodes running a deep learning model to assess if it's likely a deepfake. A consensus mechanism can be used for higher reliability. Integrity Verification: A cryptographic hash (SHA-256) of the original media file is calculated before upload. Decentralized Storage: Verified authentic media is uploaded to IPFS via Pinata, ensuring content-addressable, decentralized storage. Immutable Record: The IPFS CID (Content Identifier) and the calculated hash are stored immutably on an Ethereum-compatible blockchain using a Solidity smart contract. Secure Sharing & Traceability: The smart contract manages fine-grained, item-level sharing permissions. Sharing actions are logged via events, enabling traceability of who shared what with whom. Client-Side Verification: When viewing media, the application fetches the content from IPFS, recalculates its hash, and verifies it against the hash stored on the blockchain, ensuring tamper-evidence.

PrepLinc

PrepLinc

Detecting DeepFake Images using Decentralized Network

Pranav Kumar Pandey

Detecting DeepFake Images using Decentralized Network

Our project aims to tackle the challenges posed by deepfake technology to media authenticity by leveraging the combined power of blockchain and machine learning.

Pranav Kumar Pandey

Comments (0)

Our project aims to tackle the challenges posed by deepfake technology to media authenticity by leveraging the combined power of blockchain and machine learning.

Pranav Kumar Pandey

Comments (0)