Detecting Brain tumor using MRI scanned Images
This project utilizes machine learning techniques to detect brain tumors in MRI (Magnetic Resonance Imaging) scanned images. The goal is to develop an accurate and efficient system for early detection of brain tumors, which can aid medical professionals in diagnosis and treatment planning.
Predict goals, fouls, winner, loser of any football match
This project aims to demonstrate the potential of decision trees as a tool for analyzing football data and provide insights into the game that can be useful for coaches, analysts, and fans.
Smart box which can tell chronic deseased patients the right medicines to take at the right time.
The project assists chronic patients in taking multiple medications correctly and avoid taking the wrong medications, which may cause drug interactions, and is providing other medication- related functionalities such as reminders to take medications on time, medication information, and chronic patient information management. The system which we designed consists of an intelligent medicine recognition device, an app running on an Android-based mobile device. Currently, eight different medicines can be recognized by this product. The experimental results show that the recognition accuracy reaches 96.6%.
Data Engineer, Analyst! Well versed with SQL, Python, Power BI, ETL.
I pursued Master's degree at Purdue University with a specialization of Electrical & Computer Science. I have been a Purdue Campus Ambassador while studying, I believe that I was a great addition to the Purdue team because I brought in some changes & admissions as well with the communication skills I possess.
