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I collaborated with AFEME students to assemble a tele-operated bot using ESP32 CAM, Arduino Uno, L298n motor driver, Lipo batteries, and DC motors. Programmed the bot’s functionality in C++ via Arduino IDE, with Firebase for real-time communication and React.js for a user-friendly software interface.
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I captained a team of four Mechatronics Engineering undergraduate colleagues to build a single-axis solar tracker system that maximizes solar energy generation, leveraging Arduino and accessible electronic components. This was a class project.
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Trained a neural model to identify and classify simple fruits in the immediate environment. 90% training performance and 84.62% real-world success rate. This was a class Project.