Business During COVID: An IOT Based Automated Sand Truck Management Solution

As a result of the development in computing technologies have begun to believe the human expectations on these needs in the different sort of components. The eSand Transport System with IOT (eSTSI) is a sand transport system designed to provide secure and accurate data such as gross weight with the sand and the truck, viewing the details of the owner when the RFID card is detected, sending alerts through the mobile application from the Firebase by interconnecting with IOT device, viewing the schedule of the selected truck with the data and destination, and displaying the location once the truck is passed the checkpoints. The main functionalities of eSTSI are to identify the truck with the correct information via the RFID card that retrieves the data who has enrolled with the app and stores the data in the firebase. The expected services are aimed to provide by this system

Building Customized Chatbots for Document Summarization and Question Answering using Large Language Models using a Framework with OpenAI, Lang chain, and Streamlit

This research presents a comprehensive framework for building customized chatbots empowered by large language models (LLMs) to summarize documents and answer user questions. Leveraging technologies such as OpenAI, LangChain, and Streamlit, the framework enables users to combat information overload by efficiently extracting insights from lengthy documents. This study discussed the framework's architecture, implementation, and practical applications, emphasizing its role in enhancing productivity and facilitating information retrieval. Through a step-by-step guide, this research has demonstrated how developers can utilize the framework to create end-to-end document summarization and question-answering application

Business during COVID: An IOT (Internet of Things) based Automated Sand Truck Management Solution

As a result of the development in computing technologies have begun to believe the human expectations on these needs in the different sort of components. By the result of that, the diverse types of systems are started to design and implement by the people who has used with their knowledge to do something innovated. The computer technology offers computerized system to prevent the capability of having errors on sensitive data. Apart from that, the manual system is used for sand transporting which has been controlled by the Geological Survey and Mines Bureau of Sri Lanka (GSMB). The permit sheet is offered by the GSMB to the truck owners which has transported the sand via the trucks. The permit sheet is having a manual process. The gross weight of the truck with sand is depended on the variations of the trucks. As a solution, the trucks which transport the sand are referred to the specific checkpoint that measuring the exact weight while the Radio Frequency Identification (RFID) card is detecting the truck details. Vehicle recognition using RFID card is the efficient solution to get rid of having short comes such as parking large scale trucks near the checkpoint, getting much time to sign their permit sheets from the specific police officer in the checkpoint etc. Not only the GSMB but also, it is possible to apply to the many fields for the purpose of reducing traffic issues, roadblocks, and parking management systems. This process can apply which typically the vehicle number is used to get the current information in daily as an alert message to the owner's account. Using the RFID technology to confirm the exact information of the selected truck or if there is any error, then it will automatically inform to the owner via an alert message with the GPS current location of the truck. The project eSand Transport System with IOT(eSTSI ) has been carried out to implement the sand transport system which will perform as the real time surface for the GSMB or any company which relates to the detecting the specific vehicle using RFID Card that allows you to provide the secure and accurate data such as gross weight with the sand and the truck, viewing the details of the owner when the RFID card is detected, sending alerts as messages through the app which has been connected with the firebase, viewing the schedule of the selected truck with the date and the destination and displaying the location once the truck is passed the checkpoint. The main functionalities of the eSTSI are to identify the truck with the correct information via the RFID card that retrieves the data who has enrolled with the app which stores the data in the firebase. The expected services are aimed to provide by this system. The COVID 19 which has arrived from the Wuhan, Hubei province China to the world at the beginning of the 2020 and it has spread all over world with making enormous number of damages to each country’s health and the economy. As a result of this, people are facing to challenges which has affected by the new virus called as COVID 19 and searching the best solutions to prevent this pandemic situation as possible as much to make the world where it has used to be before the COVID 19 virus. The COVID 19 is spread through hands, eyes and mouth because of that people use to sanitize or wash their hands after touching a surface when in a public place

Determine What the Student Understands-Assessment in An Un-scaffolded Environment

The current landscape of computer-assisted language learning (CALL) necessitates effective assessment tools that are capable of evaluating students' comprehension and skills in an un-scaffolded environment. Traditional assessment systems often provide predefined scaffolding, potentially influencing assessment outcomes. In response to this, this document presents a novel grading tool designed to autonomously evaluate free-form responses without furnishing pre-determined structures or suggestions. This innovative tool aims to empower students by fostering independent thinking while mitigating the challenges of individual variability that arise within the context of un-scaffolded assessments. The tool discussed in this document is centered around evaluating student knowledge and proficiency without imposing a rigid framework that could impact the assessment process. It comprises a framework-free testing environment module alongside a module for analyzing correct student responses. A scoring module is incorporated to discern between responsive answers and incorrect responses, further categorizing errors based on their nature. This research advances the conversation surrounding un-scaffolded assessment in CALL, offering a solution that promotes self-reliance and effective evaluation while maintaining accuracy in capturing student comprehension and proficiency