Using Deep Convolutional Neural Network

As a Master Thesis Project, developed a model to predict the coronary artery disease and classify them using deep convolutional network , In addition , the build model is compare with the existing models using various algorithms.

As a team of two members, developed a model which will predict the endometrium carcinoma in CT scan images and identify the stage of the disease.

As a team of three members, developed a mobile robot that will help us to navigate the location. It is designed with all safety purposes which is automated , driverless, beacon based that will depict the range of lost location.

Predicting CAD disease using CT Scan Images and depicting the volume of a particular blockage using unique Algorithm.

GenAI assistant using RAG architecture and vector search to answer supply chain planning queries from enterprise documents.

LLM-based pipeline using embedding models and vector search to extract insights from procurement and supply chain documents.