Pranav Mehta

Coming soon!

Using the open-source Radiohead library, I built a configurable LoRa mesh network for research & industry use cases using low-cost Adafruit Feather boards.

Spearheaded the assembly of soccer-playing robots and led the embedded team at UCSD’s first Robocup competition in Germany. Implemented a PID control loop on STM32 updated via UART commands and enabled holonomic movement for precise control of the robot using the CAN protocol.

Developed a real-time, power-efficient Bluetooth tracker device using an STM32 that sends BLE packets to nearby phones. Designed bare-metal drivers in C for the GPIO and Timer peripherals, communicating with the accelerometer sensor using I2C, and communicating with the Bluetooth Low Energy chip using SPI.

I developed the speech-to-text subsystem of the Botion cube, which samples audio data using the microphone sensor over I2S, records the sound file, then passes it to a speech-to-text ML API to get back text. This subsystem allows users to create tasks on the cube using their voice. The video file (play button) below demonstrates this system.

Enhanced vision and communication system by integrating specialized underwater cameras for obstacle detection and a WiFi Halow-based network bridge to provide a high bandwidth link, with successful video streaming from the Autonomous Underwater Vehicle’s onboard Raspberry Pi to the base station GUI achieved during the latest pool test. Developed a Python module for the Raspberry Pi to process encoded NMEA strings from an onboard GPS sensor and AHRS data from a 9-DOF IMU sensor, enabling pose estimation.

Leashable Boats is a Minecraft mod that I developed during summer 2022, eager to test out the new concepts that I had learned from AP Computer Science A in high school. It turned out to be a fun project for me to make as I was able to successfully integrate specific features that I had wanted into the game, and I was also able to share my work with the community, with approximately 6,000 downloads for my mod now.

I built a productivity tool that helps its users keep track of the tasks that they needed to do next, but goes a step further by opening the application that they need to perform their task. This is especially handy if the user prefers to keep their desktop clean and does not have many shortcuts, as it saves them the time of searching for the app on their computer and then opening it. Insert a task name, start time, end time, and system application name. When the start time arrives, the application will automatically open the provided system application (such as Visual Studio Code or Word) and set a timer to start counting down on the UI until the end time.