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Science has time and again proven to be one of the most powerful tools in finding solutions to the problems faced by the world. Let it be natural or man-made challenges, hard work put into finding efficient answers to tackle them has proven to safeguard the ecosystem. Sometimes the research community is put under pressure when humanity faces the challenge of survival like the Covid-19 pandemic. A great extent of published works needs to be studied to find an optimal solution to existing or new queries related to the virus. In this research work, we build an efficient data mining tool using the CORD-19 Dataset to help the community come up with answers to Covid-19 related questions. We use a combination of semantic and keyword search to reduce the solution space of our model. Our model makes use of parallelism, paraphrasing, and state-of-the-art natural language processing techniques which will serve as a time and energy-saving tool for the information need of all doctors and researchers who are trying to put an end to the pandemic and avoid future possible outbreaks.