2021/22 List of Final Year BE/B.Tech/M.tech/MCA Big Data Projects

Project Code: RBB100
Abstract: Question and Answer (Q&A) systems play a vital role in our daily life for information and knowledge sharing. Users post questions and pick questions to answer in the system. Due to the rapidly growing user population and the number of questions, it is unlikely for a user to stumble upon a question by chance that (s) he can answer. Also, altruism does not encourage all users to provide answers, not to mention high quality answers with a short answer wait time. The primary objective of this paper is to improve the performance of Q&A systems by actively forwarding questions to users who are capable and willing to answer the questions. To this end, we have designed and implemented SocialQ&A, an online social network based Q&A system. SocialQ&A leverages the social network properties of common-interest and mutual-trust friend relationship to identify an asker through friendship who are most likely to answer the question, and enhance the user security.We also improve SocialQ&A with security and efficiency enhancements by protecting user privacy and identifies, and retrieving answers automatically for recurrent questions. We describe the architecture and algorithms, and conducted comprehensive large-scale simulation to evaluate SocialQ&A in comparison with other methods. Our results suggest that social networks can be leveraged to improve the answer quality and asker’s waiting time. We also implemented a real prototype of SocialQ&A, and analyze the Q&A behavior of real users and questions from a small-scale real-world SocialQ&A system

For IEEE Paper & Synopsis contact: 9886468236 / 7022390800

Project Code: IOT27
Abstract: Continuous monitoring of the Heart of high-risk patients may have a major role in preventing coronary heart disease in recent decades. If any change of the health condition from their normal is observed, then it will be transmitted it to a health center for early and further analysis and preventative actions. This saves the life of the patients from Heart attacks. Keeping this in view we intend to develop a wireless wearable (coat) ECG (to be implemented in IOT) for detecting abnormal heart conditions. It uses a three wireless electrodes, a specialist framework focused on Java and a web-enabled surveillance network. The first move is to set up a portable ECG system utilizing the electrodes of the product click into the body region of the patient. Bluetooth will attach this lightweight ECG to mobile device like a cell phone. A mobile Java device will then begin data collection and conversion. A desktop device may be enabled. In the case of emergencies, the existing program often activates a professional alert warning device. This ECG monitoring systems are very useful for elderly patients having severe heart problems.

For IEEE Paper & Synopsis contact: 9886468236 / 7022390800

Software Project list


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7022390800

7022390800