Projects
These projects reflect my interest in building practical systems across AI, healthcare, industrial IoT, and software engineering. I focus on solutions that are technically strong, useful in real settings, and easy to understand.
Interactive Tool for Visualizing Software Architecture Evolution using LLM
IIT Gandhinagar
Developing a software Tool-Kit that extracts architecture-related information across multiple versions and creates an interactive timeline visualization to show how the architecture evolved and uses a LLM to summarize detected changes.
View Live ToolDigital Twin Monitoring Software
NIT Hamirpur
Developed a digital twin monitoring software to visualize and monitor lab environments remotely. The software uses real-time data from sensors to create a digital replica of the lab, enabling users to identify and resolve problems quickly and efficiently.
Anomaly Detection in Industrial IoT
NIT Hamirpur
Developed a machine learning-based anomaly detection system for Industrial Internet of Things (IIoT) devices using Random Forest and LSTM algorithms. The system is scalable, efficient, and designed for deployment on edge devices or in the cloud.
COVID-19 Detection Model using Chest X-Rays
NIT Hamirpur
Utilized a Convolutional Neural Network (CNN) to extract features from chest X-rays and trained a robust model to predict the presence of COVID-19 with high accuracy.