Email-spam-detection-using-NLP

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  Windows Application

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  Web application

Inspiration

The inspiration for using machine learning to detect spam emails comes from the need for a more efficient and effective way to combat the persistent and pervasive problem of spam emails that might contain malicious data

What it does

It tell us if an email is spam or not

How we built it

We have used NLP machine learning (MultinomialNB) because we were using only the content of the mail and the lable. Then we execute the model and use it as an API for other purposes. We also create windows form and web application for this product using C#

Challenges we ran into

We have some problems with executing the model and also because .Net Core was changed we ran into an issue for our web application

Accomplishments that we're proud of

We are proud making an actuall product that working with 80% accuracy

What we learned

How to execute model and use it as an API and connect it to the other platforms

What's next for Email-spam-detection-using-NLP

We can make the accuracy better with larger dataset so we can acctually sell this product in different version to companies or users

Built With

• ai
• api
• asp.net
• c#
• css3
• html5
• machine-learning
• matplotlib
• mvc
• natural-language-processing
• numpy
• pandas
• python
• seaborn
• skitlearn
• visual-studio
• visual-studio-code
• web-application
• windows-application