Designed a digital piano using the DE2 FPGA board, utilizing VHDL to generate accurate musical notes through frequency division and oscillator control. The system supports chord creation adjustable tempo, and includes RAM for storing pre-written music, showcasing advanced hardware and software integration.

Designed a digital alarm clock using the DE2 FPGA board and VHDL. The project features real-time clock functionality, an adjustable alarm, a snooze feature, and LED indicators. Implemented a clock divider to achieve precise 1 Hz timing from a 50 MHz clock signal. Utilized seven-segment displays to show current time and alarm settings, integrating both hardware and software for efficient functionality.

Designed and implemented a machine learning classification system using the LSM6DSV16X IMU sensor on an STM32 Nucleo-F401RE board. Collected accelerometer and gyroscope data through MEMS-Studio with the DataLogExtended firmware to capture multiple motion patterns. Trained a Decision Tree model using the on-board Machine Learning Core (MLC) and compared its performance with Random Forest and SVM models in Python. Achieved accurate real-time motion classification on embedded hardware and visualized model performance using accuracy plots and confusion matrices.

Developed an IoT system using the Arduino MKR1000 to monitor environmental data and upload it to the ThingSpeak cloud. The project included integrating a temperature sensor and a light sensor, sending real-time data to the cloud for visualization, and displaying readings on a smartphone widget. Demonstrated expertise in cloud connectivity, data visualization, and IoT device programming using Arduino.

Developed a flood detection system using the Arduino MKR1000 and a humidity sensor. The system monitors humidity levels in real-time and uploads the data to the cloud for visualization. Integrated a buzzer to trigger an alert when critical thresholds are reached, showcasing expertise in IoT, sensor integration, and cloud connectivity.

Developed an IoT system to monitor and analyze hand tremors using Arduino MKR1000 boards and sensors, including a flex sensor and an LIS3DH accelerometer. The system collects real-time data and transmits it to the ThingSpeak cloud for processing and frequency analysis using MATLAB. The processed results are visualized on the Blynk mobile app, with LEDs providing visual tremor alerts. Demonstrated expertise in cloud data handling, IoT device programming, and real-time data visualization.

The majority of people take medication every day, and we never think about how the warehouse keeps track of all the medicine. My program is a pharmaceutical warehouse inventory management system. This allows the warehouse to keep track of medication so those who need it will get it sooner. 

Are you looking for the next addictive game? This game will have you feeling like a pirate looking for lost treasure. Do not be fooled you only get a few tries to find it, or your treasure will continue to remain hidden.

Where would we be without temperature sensors? It is something we all use daily, whether it is in the comfort of our homes or our cars. I have created a temperature sensor program for the AD2210S temperature sensor at the appropriate operating temperature (-50°C to 150°C). This specific sensor provides output depending on temperature and then goes to 12-bit ADC to be read by a device.