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An Online Group discussion platform Made using django.
Each message shall have a report button. onclick- expending into a box specifing a list of reasons why the message is to be reported.
an model for spam detection already exists. however the model does not identify cuss words or any other imappropriate messages. A ML model is expected based on any algorithm suitable that has highest accuracy.
An ML model already exists for identifying spam messages sent by the user. the algorithm used is naive bayes- 86% Accuracy. A more powerfull ML model is required with better accuracy.
While the model tries to identify spam and inappropriate messages, sometimes its accuracy might fall short. In such conditions rest of the participants must be able to report such users. A report button shall be added near each message. each report shall have a specific reason passed along with the message reported to the machine learning model/models. based on the reason why the message was reported, ML model shall be trained on the new data so that such thing shall not occur in the future.
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