Description
As a computer science student with a strong programming foundation and a passion for web development and AI, I have a demonstrated track record of success in completing projects that require strong analytical and problem-solving skills, as well as collaboration. I am also proficient in a variety of tools and technologies, including Linux OS, Oracle (SQL), MATLAB, Cisco Packet Tracer, Adobe Photoshop, Microsoft Office, Xcode, and Keil uVision.
Some of my notable projects include:
1. A Python-based drowsiness detector that uses machine learning algorithms to identify signs of drowsiness in real time.
2. An eye tracking mouse that uses computer vision techniques to control the cursor on a computer screen using eye movements.
3. A URL shortener that generates short and easy-to-remember URLs for long and complex URLs.
4. A weather app that provides real-time weather information for different locations around the world.
5. An LLaMA interface in Terminal of MacOS, which is a natural language processing model that can be used for a variety of tasks, such as text
generation, translation, and summarization.
6. An image classification project that uses convolutional neural networks to classify images into different categories.
I am also a Google Cloud Practitioner.
Overall, I am a highly skilled and motivated computer science student with a strong track record of success in completing projects that require strong analytical and problem-solving skills, as well as collaboration. I am also proficient in a variety of tools and technologies, and I am eager to contribute to a dynamic company and enhance my skills.
Skills
- Python machine learning Java HTML CSS
Education
-
Vellore Institute of Technology
- 2021-2025 B.tech Computer Science