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This project utilizes Scrapy to scrape Malayalam movies from IMDb, stores the extracted data in a MySQL database, and enables data analysis using Power BI. The goal is to provide insights into Malayalam movie trends, ratings, and other relevant metrics.
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Python-based simulator that generates realistic supply chain datasets tailored for an Indian retail business selling apparel, shoes, and accessories. Built on a hub-and-spoke model with cross-docking, this framework feeds directly into a Power BI dashboard for performance tracking across fulfillment, delivery, inventory, transport costs, and reverse logistics.
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This is an Excel-based template for implementing the Analytic Hierarchy Process (AHP). It is a macro-enabled workbook designed to facilitate multi-criteria decision-making by using the AHP methodology.
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This project is built using Tailwind CSS, React, Redux and Firebase. It is responsive in nature. Deployed on Netlify. React hooks used: useState, useEffect and useRef. React Context and Redux for state management.