Daily Archives: November 25, 2024

Abstract-The challenges of urban areas with ever-increasing traffic congestion, emergency response, and maintaining road safety are the basis of this paper. The ITMS proposed in this paper treats optimization of timings at the traffic signals based on real-time vehicle counts, along with the detection of emergency vehicles and accidents, as its prime mandate. To achieve these objectives of optimal traffic management, advanced technologies, such as sensor detectors, algorithms for processing data, and communicating networks, were adopted. With simulations and evaluations, the ITMS holds great promise in enhancing traffic flow efficiency as well as reducing congestion while shortening emergency vehicle response times vis-a-vis fixed-time signal control. The research performed here addresses the development of more sustainable and resilient urban transportation systems.

Abstract-Artificial Intelligence (AI) has become a pivotal technology for automating complex processes, while Soft Computing provides innovative ways to manage imprecise and uncertain data. By combining the two, hybrid systems leverage the strengths of AI’s precision and Soft Computing’s adaptability. This paper delves into the principles behind these hybrid models, emphasizing their use in healthcare, autonomous systems, finance, and smart cities. It also highlights the challenges of scalability and interpretability and outlines potential research directions, including integrating quantum computing and promoting explainable models.

Abstract-Chatbots function as software that enables users to ask questions and receive assistance through appropriate responses. This paper explores an AI-based chatbot designed to serve as an online ticketing system, streamlining the process of issue reporting, resolution, and user assistance across various domain. It also includes features like customer support, IT helpdesks, and event management. Natural language processing (NLP) is used by this proposed chatbot to understand user queries, categorize tickets, and provide instant responses. The aim of this chatbot is to enhance efficiency, reduce response times, and improve user satisfaction.