The project basically protects the image taken in any place with the blockchain immutability in order to avoid the problem of editing or morphing it by saving the image, meta data in the blockchain
In an age where misinformation spreads like wildfire, fake and tampered images have become powerful tools for manipulation — especially during sensitive events like elections, protests, and wars. From photoshopped political images to recycled visuals of past riots, there's currently no standard way to verify the authenticity of an image.
VerifiedLens is a blockchain-powered platform designed to tackle this issue by ensuring image authenticity and traceability.
Using a trusted source (like a journalist’s app or approved camera), images are:
Hashed (generating a unique fingerprint),
Stored on IPFS (for decentralized access), and
Logged on the blockchain with metadata like GPS location, timestamp, and photographer ID.
This enables anyone — journalists, readers, or platforms — to upload an image and instantly verify if it has been previously registered as an authentic image.
Kamala Harris & Epstein (2020): A fake viral photo misled voters.
Delhi Riots (2020): Doctored images were used to incite violence.
Ukraine War (2022): False narratives were pushed using tampered visuals.
VerifiedLens empowers truth and transparency — giving users the tools to distinguish real from fake, and helping the media retain its integrity in a decentralized future.
Progress During the Hackathon During the hackathon, our team successfully transformed our concept of VerifiedLens into a working prototype that demonstrates the end-to-end image verification process using blockchain and decentralized storage. Key Milestones Achieved: Problem Validation & Research Studied misinformation case studies. Identified how fake images impact media credibility and public trust. Technical Architecture Finalized Designed a secure, transparent workflow for image authenticity verification. Chose IPFS for decentralized image storage and Ethereum testnet for blockchain logging. Prototype Implementation Built a frontend where users can: Upload press images with metadata (timestamp, GPS, photographer ID). Verify if an uploaded image is authentic using hashing comparison. Integrated IPFS for decentralized image hosting. Used smart contracts to store image hashes and metadata on the blockchain. Demo Use Cases Uploaded sample press images and verified them through our platform. Demonstrated how tampered or fake images fail the verification process. UI/UX Design Created a clean and intuitive UI using React (or Figma if applicable). Focused on minimal interaction steps to ensure usability for journalists and the public. Pitch Preparation Created slide deck highlighting the problem, solution, workflow, and real-world impact. Recorded a demo video explaining how VerifiedLens works.