Hello! My name is Rahsya Benova Akbar, an Information Technology student at President University with a specialization in the Internet of Things (IoT). I am passionate about technology and continuously exploring the latest advancements in AI, IoT, Web and Mobile development to create impactful solutions.
A collection of technologies and tools I use in IoT, AI, web and mobile development, and database management.
Experienced in machine learning and deep learning using TensorFlow, focusing on integrating AI models with IoT systems to build smart and connected solutions.
Skilled in programming microcontrollers such as ESP32 and Arduino, optimizing embedded systems for efficient IoT device performance.
Proficient in modern web development using HTML, CSS, and JavaScript, with hands-on experience in React.js and TypeScript. Backend expertise includes PHP and Laravel for building APIs, integrating with tools like Postman for testing.
Experienced with cross-platform mobile app development using Flutter and Dart to create seamless and responsive user experiences.
Skilled in both relational and non-relational databases, including MySQL for structured data and MongoDB for flexible, scalable data management.
Proficient in version control using Git and GitHub, ensuring clean, maintainable, and collaborative code management across projects.
Here are some projects I've worked on recently, ranging from IoT to web and mobile development.
AIoT-based Water Control
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Internet-based Digital Clock
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Smart Trash Bin That Opens and Closes Automatically
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ESP32-based IoT Learning Kit
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Flutter + Laravel API + SQL
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TALL Stack & BALL Stack
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Selected through a competitive test to join a special class in collaboration with Samsung, focusing on IoT and AI fundamentals.
Gained hands-on experience in UI/UX design by competing in a design competition.
Reached the final round out of 7,590 participants nationwide with the project Savaqua, a smart water monitoring system that leverages AI and IoT to track and optimize water usage efficiently.
Developed real-world web applications using modern frameworks, learning industry best practices for clean code and scalable systems.
Achieved an international Gold Medal with the project Smart Water Monitoring System, an AI-powered IoT solution for real-time water usage monitoring and waste reduction.
Won First Best Team out of 10,623 participants nationwide with the project EduKit AIoT ESP32. EduKit is an educational kit designed to teach students how to build IoT projects integrated with AI using the ESP32 microcontroller. It includes real-time monitoring, control systems, and machine learning modules, empowering the next generation to learn hands-on about smart devices and automation.
Pursuing a major in Information Technology with a specialization in IoT, actively working on projects related to AI, IoT, and full-stack web development.
