jayant1211/Image-Tampering-Detection-using-ELA-and-Metadata-Analysis

aim of this project is to give insight into authenticity of an image using ELA and metadata analysis based weather validation

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This tool helps you quickly determine if a digital image has been altered or faked. You upload an image, and it uses two different analysis methods to give you insights into its authenticity. This is ideal for journalists, fact-checkers, legal professionals, or anyone needing to verify the trustworthiness of an image.

No commits in the last 6 months.

Use this if you need to check if an image has been manipulated, especially if you suspect part of the image has been edited or if the depicted weather doesn't match historical records for the location and time.

Not ideal if you need to detect subtle manipulations that don't involve compression artifacts or if you require analysis beyond basic image authenticity and weather metadata validation.

digital-forensics fact-checking image-verification evidence-analysis media-authenticity
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 17 / 25

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Jupyter Notebook

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Last pushed

Feb 17, 2025

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