3 publications
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Streamlining Healthcare Operations- Exploring MedBed, an Advanced Hospital Management SystemBy Ashish Dwivedi, Prafull Pandey, Sundaram Seth, Sharva Tripathi, Utkarsh Tripathi
Abstract: MedBed is a hospital management system that runs on the web, aiming to optimize hospital operations, enhance productivity, and elevate the quality of patient care. Its interface is user-friendly and empowers medical personnel to manage patient information, book appointments, maintain electronic health records, track inventory, and manage billing. In this article, we will delve into the creation and deployment of the MedBed system, emphasizing its crucial aspects and advantages. Additionally, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 9, Issue 1, 2023 · pp. 1–5 Read article →
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Developing a Python-based Chatbot Library SansArLIB for Advanced Communication: A Comparative Study with Baseline ChatbotsBy Prafull Pandey, Ashish Dwivedi, Sanskar Khanna, Arvind Kumar Sahu
Abstract: The purpose of this study was to develop and evaluate a Python-based library called "SansArLIB" for improving chatbot technology. The library was designed to provide developers with a comprehensive set of tools and resources for creating more advanced chatbots that can better understand and respond to user queries. The study involved developing the library and testing it across three different chatbot scenarios. The results showed that the SansArLIB library had …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 1–6 Read article →
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Crime Rate Prediction System Using Machine Learning.By Prafull Pandey, Nagma Wasim, S. K. Sharma, Neha Chauhan, Anand Kumar Singh, Praveen Kumar
Abstract: Crime rate prediction is an important research area that helps law enforcement agencies to take proactive measures to prevent crime. The proposed model uses a combination of historical crime data to predict crime rates.The proposed model uses a supervised learning approach where the crime rate is predicted based on a set of input features. The input features include historical factors such as area, year, crime type. This paper presents various …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 18–27 Read article →