Fake News Detection in Python
Fake News Detection using Machine Learning, this project developed using python programming language and Django framework is used for developing graphical user interface. Machine Learning model is trained on large dataset that contain real and fake news. User have to write news in text area and click on predict button so if the user entered wrong news then it show that entered new is not correct, or if the entered new is not correct then model shows fake news.
In today’s world, lots of wrong information is spread around. We want to make a system using Python that can find out if news is true or fake. Python is a computer language that helps us do this. We’ll use special techniques and tools in Python to understand the news better. Our system will learn from good and bad news examples to figure out what’s true and what’s not. This helps people know what to trust when they read news online. It’s like having a smart helper that checks if news is real or made up to keep everyone safe from lies.
Detection of Fake News using Machine Learning
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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