Electronics & Computer Science undergraduate interested in AI/ML-based problem solving and building intelligent systems.
Download ResumeI’m a B.Tech Electronics & Computer Science student with a strong interest in problem solving using machine learning and data-driven approaches.
I enjoy working on systems where software logic interacts with real-world constraints, and I focus on understanding concepts deeply rather than just using tools.
Python
C
Java
JavaScript
SQL
Linux
Git
GitHub
Streamlit
Raspberry Pi
HTML
CSS
Machine Learning
Data HandlingDeveloped SmartHealth, a lightweight AI web application that predicts the risk of diabetes, heart disease, liver disease, and kidney disease using machine learning.
Built using Python and Streamlit, the application provides real-time health insights through a clean and user-friendly interface and is deployed on Streamlit Cloud.
Python · Machine Learning · Streamlit View on GitHub →Developed a real-time driver drowsiness detection system using computer vision and Raspberry Pi to enhance road safety. The system monitors eye activity using Eye Aspect Ratio (EAR) and facial landmark detection.
When drowsiness is detected, alerts are sent wirelessly to a Raspberry Pi, triggering multi-stage voice warnings. The system resets automatically once the driver regains alertness.
Python · OpenCV · dlib · Raspberry Pi · Flask · Wi-Fi · Text-to-Speech View on GitHub →