OmniGuardAI is a web-based application designed to detect cyberbullying in both text and audio inputs. The application utilizes pre-trained Natural Language Processing (NLP) models to classify text sentiment and detect toxicity, along with an automatic speech recognition (ASR) model to transcribe audio files for analysis.

• Text-Based Detection: Classifies text as positive or negative and flags cyberbullying if toxicity is detected.
• Audio-Based Detection: Converts speech to text and performs the same classification and toxicity analysis.
• Justification for Labels: Uses Gemini AI to provide reasoning for classifications.

• Programming Language: Python
• Framework: Streamlit
• Libraries:
  • numpy: For numerical operations.
  • pydub: For audio processing.
  • streamlit: For building the web interface.
  • transformers: For NLP models (sentiment analysis, toxicity classification, and ASR).
  • google.genai: For AI-generated justifications.
  • io.BytesIO: For handling audio file input.

Ensure that you have Python installed (preferably version 3.8 or later). Install the required dependencies using the following command: bash pip install numpy pydub streamlit transformers google-generativeai

1. Clone the repository or save the script as omniguardai.py.

2. Run the following command to start the Streamlit application: bash streamlit run omniguardai.py

3. Access the application in your browser at http://localhost:8501/.

1. Text Detection:

   • Enter the text into the provided text area.
   • Click "Check Text" to analyze.
   • The result and justification will be displayed.

2. Audio Detection:

   • Upload a .wav file.
   • Click "Check Audio" to analyze.
   • The transcribed text, classification result, and justification will be displayed.

• Sentiment Analysis Model: distilbert-base-uncased-finetuned-sst-2-english
• Toxicity Classification Model: unitary/unbiased-toxic-roberta
• Automatic Speech Recognition Model: facebook/wav2vec2-large-960h

To use Gemini AI for label verification, update the API key in the script: python API_key = "YOUR_GOOGLE_GENAI_API_KEY"

Make sure to replace it with a valid key.

• If an invalid or corrupted audio file is uploaded, an error message will be displayed.
• If the API fails to return a justification, the application will notify the user.

Developed by : Dannayak Naga Jahnavi and Vaishnavi Sriyaa Narasimhadevara