We have always wanted to avoid unwanted and potentially risky mails in our mail box and this is exactly what my project does. This is a Spam Classifier with Naive Bayes, built using Python modules
This project classifies the email as spam or not based on the scanning of the whole email body. The program compares the string tokens with that of already stored spam-keywords and if it finds the one then reports the mail as spam otherwise not.
If classified as spam will place in spam folder or give label of spam. If not spam will show in inbox as normal inbox message.
I was quite new to opensource so I've learnt a lot of new concepts and I feel very proud to have covered my project in python lang as it was quite new to me!
Thank you Neural Hacks for giving me this amazing opportunity to learn and implement my codes!
Built With
- ai
- databases
- gui
- python
- pythonmodules
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