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Built a web interface using Python and Django for detecting Hate Speech where users can analyze a person's speech data.
Used Convolution neural network with ensemble learning for accurate classification and prediction.

In recent years, the increasing prevalence of hate speech in social media has been considered a serious problem worldwide.
Many governments and organizations have invested significantly in hate speech detection techniques, which have also attracted the scientific community's attention.
Hate speech is subject to a form of conceptual decomposition and involves some concepts:
1. It targets groups or classes of people by targeting particular characteristics.
2. It demonstrates emotions, feelings, or attitudes of hate or hatred.