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@article{192258,
        author = {Vaishnavi Asthana and Sweta Sah and Gobind Kumar Gautam and Shaiba Parveen Ansari and Monika Jaglan},
        title = {Brand monitoring and counterfeit prevention technology},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {1276-1279},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192258},
        abstract = {Instagram has seen a noticeable increase in fake and misleading posts, which has made it harder for brands to preserve a genuine online presence. In this work, we introduce Brand Integrity Nexus, a system that uses multiple AI techniques to study images, captions, and other post details to identify content that may be suspicious or misleading.
The system integrates automated data collection (Instaloader, Apify), text–image preprocessing, embedding generation (BERT, DistilBERT, CLIP, ResNet), and blockchain-based hashing for evidence integrity. Initial results confirm successful development of a clean dataset, consistent embeddings, and early similarity analysis, establishing a foundation for a future multimodal classifier.},
        keywords = {},
        month = {February},
        }