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Cloud technology, runs off-premise, provides an extensive information technology support and service that can offer as an on-premise version if on demanded as a virtualized solution for customers' technological requirements. Cloud computing put together the comprehensive solutions by integrating the different technology that provision Software, Platform and Infrastructure as services. Cloud, an integrated technology that delivers a complete, open and flexible solution, leads to a critical concern over its trust. The extensive use of virtualization in cloud especially in data storage capability put forth many security concerns to the customer. It is the time to prove the customer about the strength of the cloud security through enabling their data accountability and auditing mechanism. In this work we going to provide a systematic analysis of the data accountability mechanism and auditing approaches existing now in cloud. To strengthen the customers trust over the cloud technology and service, we provided a clear enhanced view on the cloud data security and also analyze the secured way of utilizing the advantages of cloud computing.

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With the rise of Covid-19, the open-source community has devoted a huge amount of time into developing technical solutions to stop the spread of the virus. Useful solutions like symptom trackers and extensive analysis on existing datasets are a small drop in the massive number of solutions developed by people. But with the massive number of projects or solutions, it is time consuming for a motivated person to find an appropriate solution to put his time into. Therefore, seeing the inspiring amount of work done by the open source community, we are suggesting an efficient algorithm to recommend projects that are Coronavirus related to which the user can get recommendations for projects according to their preference such as language.

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