"Dedicated and motivated individual with a basic understanding of computer science principles. Eager to apply foundational knowledge in programming languages such as Python and HTML/CSS to contribute effectively to a technology-driven environment. Possesses strong problem-solving skills and a keen interest in learning and mastering new concepts in computer science. Proven ability to work collaboratively in team settings and communicate effectively with colleagues. Seeking an opportunity to further develop technical skills and contribute to innovative projects in the field of technology."
A project on Automated Parking System (APS)
Introduction
The APS system is a revolutionary solution to the parking problem in cities. It uses an ESP32 module and servo motor, controlled by the Arduino platform, to efficiently manage car movement into and out of parking spots. The system offers a user-friendly mobile app, designed using Flutter and Dart, that allows users to register their cars and locate available parking spaces. Firebase, a robust backend infrastructure, ensures real-time data synchronization. APS's primary innovation is its intelligence, which optimizes parking by dynamically modifying access based on available slots. This data-driven performance is graceful and accurate, making parking a hassle-free experience. APS aims to create cleaner and greener cities by reducing waiting time and carbon emissions.
Tools and Technologies used