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@article{199479,
        author = {KAVIMALAR M and ABARNA R and ABIRAMI E and NINEETHA K and MONA JACQUELINE G},
        title = {AI-Driven Smart Consumer Intelligence and Product Decision System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {15105-15110},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199479},
        abstract = {In the modern digital era, e-commerce platforms have become an essential part of everyday life, but they also introduce challenges related to trust and transparency. This project presents an intelligent solution to assist consumers in making informed purchasing decisions through an AI-powered product analysis system. Traditional systems rely only on ratings and reviews, which can be misleading due to fake reviews, manipulated pricing, and edited product images. The proposed system integrates advanced analytical techniques including Natural Language Processing for sentiment analysis, heuristic-based fake review detection, price trend evaluation, and image authenticity verification. The system processes real-time data from multiple platforms and generates a composite trust score, enabling users to compare and select the most reliable product efficiently.},
        keywords = {Artificial Intelligence, Sentiment Analysis, Fake Review Detection, Price Trend Analysis, Image Authenticity, E-Commerce, Natural Language Processing, Next.js, FastAPI, Consumer Intelligence.},
        month = {April},
        }