Aryan Prem Gulia

Dynamic and innovative, I leveraged advanced machine learning and computer vision techniques at IBM Internship to develop a cutting-edge real-time traffic prediction system, enhancing traffic management and user experience. Skilled in Python, Java, and collaborative problem-solving, I excel in fast-paced environments, demonstrating exceptional critical thinking and a rapid learning ability.

Major Project

Retrieval Augmented Generation Chatbot

Tech Stack :- Python, NLP, API, MACHINE LEARNING, SVM

• We delve into the intricate realm of Retrieval-Augmented Generation (RAG) based chatbots, a cutting-edge fusion of retrieval and generative approaches designed to excel in specific tasks. By leveraging existing knowledge sources while dynamically generating responses, RAG models offer a promising solution to the limitations faced by conventional chatbots. This document explores the development, implementation, and potential impact of an RAG-based chatbot tailored for specialized tasks.

Minor Project

Suicidal Behavior Prediction Model

Tech Stack :- Python, NLP, API, MACHINE LEARNING, SVM

• A suicidal behavior prediction model's goal is to identify people who are at high risk of suicide. This can be accomplished by examining a variety of factors, including demographic data, medical history, psychological state, and social support network. Suicide prevention efforts can be more effectively targeted by identifying those who are at risk. It is important to note that predicting suicidal behavior is not a perfect tool. It cannot predict who will commit suicide with 100% accuracy. However, it can be a useful tool for identifying those who are at a higher risk and taking preventive measures.