Fake News Detection based on Blockchain Technology
Detecting and Tracking Fake News using the integration of deep learning and blockchain technology. With the increasing spread of misinformation in digital media, reliable news verification has become critical. We propose a system that leverages a deep learning model, specifically a Bidirectional Long Short-Term Memory (LSTM) network, to classify the reliability of news content.
Fake News Detection Using Blockchain
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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