Pinocchio's Nose is an innovative digital wellness platform designed to combat misinformation and create safer online environments by addressing two critical challenges: deepfake detection and audio profanity filtering.
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Advanced AI-Powered Detection: Leverages a Convolutional Neural Network (CNN) trained on extensive AI and real image datasets
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Misinformation Combat: Identifies and flags AI-generated and deepfake images
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Cyber Crime Reporting: Provides direct reporting mechanism to Indian cyber crime portal when deepfakes are detected
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Robust Training Dataset: Trained over a dataset of 100,000 images, consisting of 50,000 fake and 50,000 real images.
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Dataset Link: CIFAKE
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Image preprocessing and data augmentation techniques
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Comprehensive model performance monitoring
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Cutting-edge machine learning approaches to combat digital manipulation
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Automated Profanity Detection: Uses Google Speech Recognition for precise audio analysis
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Comprehensive Filtering: Identifies and censors explicit language in real-time
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Customizable Controls: User-friendly interface for personalized content moderation
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Supports audio file input
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Converts speech to text
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Maintains extensive profanity database
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Replaces offensive content with "beep" sounds or custom censoring.
- Utilize the DeepFakeFace Dataset for improved accuracy.
- Implement ResNet50, EfficientNetB7, or Vision Transformer as the classifier for better detection performance.
- Integrate speech recognition models like Wav2Vec2 or Whisper (OpenAI) for advanced speech-to-text capabilities.
- Use SpeechT5 (Microsoft) or F5 as a text-to-speech tool for improved translation of machine language to audio.
Promoting responsible technology use and creating safer digital communities by providing intelligent, user-centric content moderation tools.