I am a second-year Computer Science and Engineering student with a passion for developing innovative solutions and mastering my field. I have hands-on experience in several programming languages and a growing interest in machine learning and AI.
Developed an automated attendance system using facial recognition technology. The system captures, processes, and records attendance in real-time, improving efficiency and reducing manual effort.
Technology Used: Python, OpenCV, Face Recognition Libraries
A web platform created to educate farmers on air pollution impacts, link them with bio-pellet plants, and streamline crop residue sales and distribution.
Technology Stack: MERN stack, Firebase, Python
A desktop application that accesses and analyzes blood test results, recognizing patterns and potential disease markers based on blood parameters.
Technology Used: Java Swing, Java
I enjoy building Android applications and am currently exploring Kotlin. I'm interested in projects that push the limits of current technology and offer practical solutions, from smart automation to AI-driven user experiences.