Intercept AI
Protect Your Digital World with Unbeatable Content Filtering
Created on 26th February 2023
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Intercept AI
Protect Your Digital World with Unbeatable Content Filtering
The problem Intercept AI solves
In recent times, we have seen a drastic increase in online toxic content, hate speeches targeting a community,misleading tweets ,and non-contextual and abusive comments, which could be a great start to fire up Protests and Riots. CAA-NRC and Farmer's Bill are great examples of such cases.
Also, We have observed a great increase in violent and pornography images, making the place inappropriate for users.
As a Solution, We came up with our Deep Learning Solution, INTERCEPT AI, a B2B model acting as a layer between user interface and backend. That can filter all kinds of Inappropriate and Toxic Contents and warns the user regarding the act.
Features that we offer:
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Specific Word Restriction: Using OpenAI GPT-3 Embeddings tool to compare input text context similarity with Blocked Words
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Multilingual Abuse Detection: Trained on MURIL BERT model and is able to detect abusive content of different Indian languages like Hindi, Marathi, Assamese, Kanada, Malayalam and many more.
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Violent Adult Content Detection: Trained using CNN ,Transfer learnIng using RESNET50
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Toxic English Hate Speech Detection: Trained using Bi-Directional LSTMs
Challenges we ran into
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Training the model with such huge data was a very challenging task on our system. So we used Kaggle and Google Colab GPUs.
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Deployment of a MURIL BERT model was a bit challenging task.
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Deployment of English Toxic Hate Speech Model faced the difficulty of determining Tokenizer while deploying, So we passed and used Saved Tokenizer that we used for training.