Sensors will be placed and messages will be sent to those people who are passing through that place. People will get messages, notifications, or recommendations of that brand outlet on their smartphones.
Abstract In an increasingly digital world, the ethical considerations surrounding data usage, AI algorithms, and information dissemination have become paramount. This thesis explores the necessity of transparency and truthfulness in data, drawing inspiration from the Quranic verse 2:42 which emphasizes the importance of not mixing truth with falsehood and avoiding the concealment of truth. The study delves into the impacts of racism and false information in data, proposing social and technical solutions to ensure data integrity. Through an examination of sentiment analysis, surveillance data, and user behavior on social media, this thesis aims to provide a comprehensive framework for maintaining ethical standards in data practices. Introduction Background The digital age has revolutionized the way information is created, shared, and consumed. However, with this advancement comes the challenge of ensuring that data remains accurate, truthful, and free from biases such as racism. The Qur...
IoT devices will have log checking. It is an inhuman task. We will use an ML model to cluster those logs, and we will check the negative comments to confirm whether the information is correct or false. This can help us remove the data from training and restate the machines. Data can be removed by taking action by the computer system by retrieving the algorithm purposed just by enhancing the cluster algorithm for identifying the false accusation. We will add some logic then we can automate this process.
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