Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{199287,
author = {Shaiba Parveen Ansari and Vaishnavi Asthana and Sweta Sah and Gobind Kumar Gautam and Monika Jaglan},
title = {Brand Integrity Nexus for Social Media & Counterfeit Detection},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {13029-13033},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=199287},
abstract = {In the second phase of the NISCHAL_AI project, the system was developed into a working application that monitors social media posts and identifies potentially fake or misleading brand content.
The system retrieves social media data through Apify and analyzes captions and hashtags using a combined framework that integrates TF-IDF, Logistic Regression, keyword filtering, and hashtag-based indicators.
One of the core components is a notification module that triggers alerts when potentially harmful content is detected.
The results are displayed on a dashboard, and the system is deployed on a Hostinger VPS with the domain nishchal.online, making it accessible online. This phase demonstrates the transition from a theoretical design to a practical, real-world solution.},
keywords = {},
month = {April},
}
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