Vansh Anand

I am Vansh Anand, a Computer Science and Engineering student at Graphic Era University. I have a keen interest in IOT, GenAI and Machine Learning. I have strong technical skills in languages like C, C++, Java, Python, and HTML, as well as tools like IntelliJ IDE, Arduino IDE, Pycharm, and Apache Kafka. I have worked on several projects, including a Mental Health Chatbot, an Interactive Kubernetes Dashboard using React.js, a Real-Time Virtual Assistant, and a Driver Drowsiness Detection and Handling system using Machine Learning. During my internship at e-Zest Digital Solutions, I worked as a Data Preprocessor Intern. I hold certifications in AWS, Google Cloud, and Tensorflow.
Some of the projects I have worked on include:

A Mental Health Chatbot that uses supervised learning and integrates with Telegram to provide real-time support for mental health issues.
An Interactive Kubernetes Dashboard built with React.js, Docker Desktop, and Minikube cluster, allowing users to manage pods and create new pods through a YAML file.
A Real-Time Virtual Assistant integrated with Raspberry Pi and ESP-32 for home automation, featuring speech-to-text conversion, intent recognition using Tensorflow LSTM, wake word detection, and Google YouTube API integration for song requests.
A Driver Drowsiness Detection and Handling system using Machine Learning algorithms and various APIs for safe driving.