HEY! I AM
Hello! I’m Vinith Kamath G, a passionate electronics engineering student with a deep interest in exploring innovative solutions in the field of embedded systems, microelectronics, and IoT. I have always been fascinated by how technology shapes the modern world, and I am constantly learning to develop practical, real-world solutions. With hands-on experience in circuit design, microcontrollers, and various development platforms, I thrive on challenges that involve problem-solving, creativity, and precision. My goal is to contribute to cutting-edge projects that push the boundaries of technology and engineering. Outside of academics, I enjoy experimenting with robotics projects, building DIY electronics, and staying updated with the latest advancements in the tech industry.
Python, JavaScript, C, C#, C++, Java
HTML, CSS, JavaScript, React, Node.js
Arduino, Raspberry Pi, ESP32, Microcontrollers
Figma, OnShape, Canva, Solid Edge, CAD, OpenCV
Git, Docker, Firebase
You can download my resume from here.
The hardware system, built around an ESP32 microprocessor and ultrasonic sensors, ensures accurate vehicle detection at parking lot entrances and exits. The software component leverages optical character recognition (OCR) and computer vision for efficient license plate recognition and vehicle identification. The system includes a versatile payment solution with a wallet feature for registered users and UPI-based dynamic QR codes for unregistered users.
Technologies Used: Python,ESP32, OCR, Computer Vision, UPI, Ultrasonic Sensors
In this project, I designed solar-powered EV charging stations using microcontrollers and the Arduino IDE. The system supports Wireless Power Transfer (WPT) and Conductive Charging (CC) to optimize energy collection and improve the overall EV charging process.
Technologies Used: Microcontrollers, Arduino IDE, Solar Power, Wireless Power Transfer
In the DROP project, I developed a sustainable hybrid desalination system that combines membrane filtration and distillation to purify water. The system integrates sensors like TDS, turbidity, temperature, and pH sensors, which are controlled by ESP32 and Raspberry Pi microcontrollers.
Technologies Used: ESP32, Raspberry Pi, RO Filters, Membrane Filtration, Firebase
This project involved creating two separate applications, one for the public and another for traffic police, to streamline document verification processes. The public app allows users to upload or fetch key documents from DigiLocker, while the traffic police app uses a generated QR code to access and verify documents.
Technologies Used: Figma, DigiLocker, QR Code, Document Management
This project involved creating an automated system to detect and sort color-based objects on a conveyor belt using Solid Edge, Raspberry Pi, Arduino, and OpenCV. The system used machine vision to detect objects.
Technologies Used: Raspberry Pi, Arduino, OpenCV, Solid Edge
This project implements a neural network from scratch to classify handwritten digits from the MNIST dataset, achieving 85% accuracy. The network was implemented using custom Python code.
Technologies Used: Python, Neural Networks, ReLU, Softmax
Institution: IEEE
Date: July 2024
Awarded 1st place for end to end smart parking framework
Institution: Smart India Hackathon 2022
Date: october 2022
Awarded 3rd place for the inter college idea pitching presentation
Institution: Electronics Engineers Society
Date: August 2023
Honored for excellence in designing and implementing embedded systems projects.
Institution: Smart India Hackathon 2024
Date:September 2024
Awarded 3rd place for the inter college idea pitching presentation
Institution: nevius and SOSC
Date:july 2024
Participated
If you have any questions or would like to get in touch, feel free to reach out using the form below or connect with me through social media.