The COVID-19 Fake News Detection with Neural Networks project addresses the pressing issue of misinformation during a global pandemic. Leveraging neural networks, the system analyzes news articles and social media content to distinguish between credible and misleading information related to COVID-19. By automating the identification of fake news, this tool aids users, health professionals, and policymakers in accessing accurate information and combating the spread of misinformation during critical times.
Software Requirements :-
1. Operating System: Win 7 or more
2. Programming Language: Python
Hardware Requirement :-
1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM