According to research, fake news spreads faster than real and trustworthy ones. Since the start of COVID-19 pandemic in 2019, a plethora of rumors and false news circulated that caused significant problems in identifying the validity of facts. Disinformation harms every aspect of society in ways that can prove to be awful. Only when there is a reliable system for evaluating news is necessary for individuals to distinguish between true and false information. In times of uncertainty like the COVID-19 epidemic, invalid and false news manipulated the psychological health of individuals by instilling fears inside their minds. People had scarce knowledge about the novel infectious disease that had just been disseminated and so they trusted every piece of information without questioning its validity. Organizations, businesses, and governments suffered as one single fake news caused turmoil and disruption of peace at economic and financial levels single source of truth was needed in this case it was the development of a detector that aided in the verification of the news circulating. A fake pandemic news detector is developed using the deep learning model Long Short-Term Memory (LSTM). Mor
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