Projects
HealthCare IoT - Remote Monitoring and Operations Management for Hospitals
Hardware / Technologies: Raspberry Pi 3 Model B+, MQTT, SPI, UART, WiFi, AD8282 Pulse Sensor, TMP102 Temperature Sensor, Amazon Echo Device.
Software: Amazon Web Services, Alexa Skills, Linux OS, Python.
Designed to automaticaly capture health metrics like heart rate, blood pressure, temperature and more from patients who are not physically present in a healthcare facility. This eliminates the need for patients to travel to providers and saves time. Integrated with Amazon Alexa skills to be able to ask sensors stats directly from an alexa enabled device.
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Space Invaders
Hardware / Technologies: SJSU-Dev Board (ARM Cortex-M4 based NXP LPC4078), FreeRTOS, 3D Printed Case, EAGLE PCB Designer, UART, GPIO, 64x64 LED Matrix, VS1053 MP3 Decoder, MAX98357A Mono Audio Amplifier, Switching Power Module, 4ohm Speaker, TTP223 Sensor.
Designed Graphics and Splash Screen Driver for LED Matrix. Contributed to game logic development of collison detection and object movement. Created Driver for SPI communication between Main and Music Dev Board. Fabricated PCB to have a modular desined system.
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Autonomous RC Car
Hardware / Technologies: SJSU-Dev Board (ARM Cortex-M4 based NXP LPC4078), HC-05 Bluetooth Module, SN65HVD230 CAN Bus Transceiver, LiDAR, and ultrasonic sensors, GPS module, FreeRTOS, CMock for Unit Testing, EAGLE PCB Designer, CAN, UART.
Implemented a self-navigating vehicle with obstacle avoidance and shortest path algorithms to reach a destination selected via a Bluetooth app.
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Raspbian Weather Station
Hardware / Technologies: Raspberry Pi 3B+, I2C, SPI, MQTT, Flask, Android Studio, AWS IoT Core, Blynk, TMP102 Sensor, Adafruit 1.44 TFT Display.
The system follows the Publish/Subscribe design pattern to create a weather monitoring system using Amazon Web Service Internet of Things Platform.
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2D and 3D Graphic Rendering
Hardware / Technologies: MCUXpresso LPX1769(ARM Cortex-M3 based NXP LPC1769), SPI, 120x160 TFT.
Designing 2D based Live screensaver, executed using Transformational algorithms to computer object’s perspectives and reflection gradients.
Disposal Rover
Hardware / Technologies: Raspberry Pi 3 Model B, Apache, H-Bridge L298, PiCam.
The rover uses a Raspberry Pi 3 Model B with a local Apache HTTP Server for user end control application and achieved communication via 802.11g to control robot remotely.
Implemented PWM for 3-way servo motor arm movement and H-Bridge L298 for wheel motor movement and live camera feed using Python.
