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@article{175080,
        author = {Vardhak Sunil Patil and Ruturaj Pandurag Khot and Harshraj Vikramsinh Nimbalkar and Harsh Eknath Nale and Sandesh Rajaram Chaugale},
        title = {Silocloud , Amazon and Flipkart Price Tracker},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1852-1853},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175080},
        abstract = {The Sliocloud, Amazon, and Flipkart Price Tracker Mega Project is designed to provide real-time price monitoring and comparison across multiple e-commerce platforms, including Amazon and Flipkart. This project aims to help users make informed purchasing decisions by tracking price fluctuations, identifying discounts, and notifying users of the best deals available.
The system leverages advanced web scraping techniques and APIs to collect dynamic pricing data from Amazon, Flipkart, and Sliocloud. Data is processed using efficient algorithms to analyze trends, detect price drops, and generate comparative insights. Users can track specific products, set price alerts, and receive notifications via email or mobile applications when prices meet their desired thresholds.},
        keywords = {},
        month = {April},
        }