Welcome to my portfolio,a showcase of the projects that reflect my journey as an Electrical & Computer Engineering student and co-founder of SimahubTech.
Overview:
The Mobile Charging Station is a smart system designed to allow users to securely charge their devices in public spaces. It combines hardware (Raspberry Pi, slots, barcode scanner, and power modules) with intelligent software to manage slot availability, user authentication, charging duration, and payment processing.
My Role:
In this project, I was responsible for the software development and system logic. I designed the database structure to manage slot availability and charging sessions, implemented barcode generation and verification for user authentication, and programmed the Raspberry Pi to control slot locking/unlocking through GPIO pins. I also developed the algorithms for calculating charging duration and cost, integrated the payment system with error-handling and retry mechanisms, and set up cloud backup for monitoring and analytics. My work ensured that the hardware and user interactions were fully supported by a secure, reliable, and automated software backbon
Overview:
The project focused on developing a system to classify penguins based on their molting stages, a task important for wildlife monitoring and ecological research. Accurate classification can help researchers better understand penguin health, behavior, and population trends, but manual observation is time-consuming and limited in scale.
My Role:
My role was to design and implement a machine learning pipeline that combined both classical and deep learning models. I used VGG16 and OWL-ViT for image classification, alongside traditional approaches such as Random Forests and SVMs, comparing their performance within a unified pipeline. This process involved data preprocessing, feature extraction, model training, and evaluation, ultimately achieving high classification accuracy and demonstrating the potential of ML in ecological studies. I also built a User Interface that Researchers can use to monitor the penguins , this UI was designed to receive data from a ESP32 for processing and data storage.
Overview:
The Micro Mouse project focused on designing and developing an autonomous robot capable of navigating through a maze to reach its target in the shortest possible time. The challenge lay in combining mechanical design, embedded systems, and intelligent algorithms to achieve efficient pathfinding while maintaining stability and precision in motion. It was a multidisciplinary task that required integrating sensors, motors, and control logic to ensure reliable performance
My Role:
My role in this project centered on the software and algorithm development. I implemented maze-solving techniques, such as flood-fill and shortest-path algorithms, while also optimizing motor control and sensor data processing to improve navigation efficiency. Additionally, I worked on testing and fine-tuning the robot’s decision-making pipeline, ensuring that it could adapt to new mazes dynamically
