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Hate Speech Detection/Web App/readme.md

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+## Hate Speech Detection
+
+### Goal 🎯
+The main goal of the project was to develop a deep learning model that accurately identifies and classifies hate speech in text data and to help identify and filter harmful language, promoting safer and more respectful online interactions.
+
+### Model(s) used for the Web App 🧮
+The application uses a TensorFlow model with BERT for binary classification of hate speech vs non-hate speech. The model produces probabilities between 0-1, with 0.5 as the decision threshold.
+
+### Video Demonstration 🎥
+![model_deployment_api](https://github.com/user-attachments/assets/e89599e4-8271-4c65-aefd-17078c1fc9c9)
+
+
+### Signature ✒️
+Adwitya Chakraborty