Abhiram Kolisetty

I am an motivated student who has consistently excelled academically. I have a desire, for learning and am actively seeking opportunities to apply my knowledge and expand my skills in real world scenarios. I pride myself on my communication and problem solving abilities. I have a strong work ethic that drives me to achieve both personal and academic goals. Throughout my experiences I have demonstrated an ability to work effectively in teams and adapt quickly to challenges.

Food Munch, This is a web application project where people will use it to order food online from different variety of restaurants, Team Head, Html, Css, java script House Prediction, Predictive modeling is the general concept of building a model that is capable of making predictions., Team Member A Novel Intrusion Detection System for Internet of Healthcare Things Based on Deep Subclasses Dispersion Information, In response, we propose a novel intrusion detection system tailored for loHT, leveraging a deep subclass dispersion variation of the one-class Support Vector Machine (OSVM) termed Deep SDOSVM., Team Head

A Novel Intrusion Detection System for Internet of Healthcare Things Based on Deep Subclasses Dispersion Information,: The Internet of Healthcare Things (IoHT) presents transformative potentials for healthcare delivery, yet its advancement is hindered by security concerns stemming from the sensitivity of medical data. Hardware, software, and network constraints compound these challenges, necessitating robust security measures for IoHT adoption. In response, we propose a novel intrusion detection system tailored for IoHT, leveraging a deep subclass dispersion variation of the one-class Support Vector Machine (OSVM) termed Deep SDOSVM. We introduce an Extension - Stacking Classifier comprising XGBoost, AdaBoost, and CatBoost, exhibiting superior accuracy compared to individual algorithms. Our comprehensive analysis underscores the efficacy of the proposed intrusion detection system in addressing IoHT security challenges, facilitating its safe adoption in healthcare settings. Team Head