Projects

Developing a vision-language model that connects text descriptions with ultrasound images, facilitating standard plane navigation and reducing variance among radiologists.

Developed a system for detecting abusive texts in online content, focusing on IPV research, using a tailored deep learning model and an interactive dashboard for Nepali languages.

Developed a multi-modal vision-language approach for accurate segmentation of medical images by extracting semantic information from image descriptions, evaluating and exploring the impact of variations in descriptions on model performance.

It is a 3D simulation of the ICTC building in the Pulchowk Campus written in C++ using OpenGL and GLSL.

It is a cross-platform desktop app written in C++ that runs on both Linux and Windows, where two users with two computers on the same local area network (LAN) shoot bullets at each other- the one to kill the other first wins.

It is a Progressive Web App (PWA) hosted at Firebase that uses its database and authentication API. It was developed for the Health and Tourism category of the Hack-A-Week contest organized by LOCUS, one of Nepal’s most critical technological festivals. It aimed at rescuing the tourists and providing medical assistance from different locals and Health Posts nearby.