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izzudin01's Projects

automated-manufacturing-system icon automated-manufacturing-system

This project involves the design and implementation of an Automated Manufacturing System, simulated in a 3D environment using Factory I/O and controlled by a Modicon M221 PLC (TM221CE16R). The system integrates two primary machines: a machining center and an assembler, with the coordination of conveyors to streamline the manufacturing process.

automatic-watering-system icon automatic-watering-system

The Automated Manufacturing System project focuses on developing a cost-effective and accessible automatic watering solution specifically designed for small-scale gardening. By leveraging basic electronic components, this system ensures that small-scale gardeners can efficiently manage their watering needs without incurring significant expenses.

coffee-sales-trends-analysis icon coffee-sales-trends-analysis

The Coffee Sales Trends Analysis project uses spreadsheet to explore sales data from 2019 to 2022, aiming to uncover meaningful patterns and insights within the coffee market. By organizing and analyzing data from customer orders, product details, and customer information. The project reveals trends in sales across different countries.

customer-shopping-analysis icon customer-shopping-analysis

The Customer Shopping Preferences Data Analysis project seeks to reveal key insights into consumer behavior and purchasing trends through an extensive dataset. The dataset includes a variety of customer attributes such as age, gender, purchase history, preferred payment methods, frequency of purchases, and more.

digitrecognizer icon digitrecognizer

This project involves the development of a digit recognition system using a two-layer neural network, specifically designed to classify handwritten digits (0-9). The system was built and trained on the MNIST dataset, which contains 70,000 images of handwritten digits.

smart-energy-meter icon smart-energy-meter

This project involves the development of a Smart Energy Meter using an ESP32 microcontroller, a PZEM-004T energy monitoring sensor, a relay, and a web server. The system is designed to provide real-time monitoring and control of electrical energy consumption.

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