classes and totol classes Fire 75 Gunshot 75 WolfHowl 75 Lion 75 WingFlaping 75 BirdChirping 75 Frog 75 Insect 75 Clapping 75 Footsteps 75 Speaking 75 Whistling 75 WoodChop 75 Firework 75 Rain 75 Handsaw 75 Generator 75 Chainsaw 75 Axe 75 VehicleEngine 75 Helicopter 75 TreeFalling 75 Silence 75 Wind 75 WaterDrops 75 Thunderstorm 75 Squirrel 75
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This project uses ML to classify forest sounds and detect potential poaching activities. It analyzes 2,026 audio files across 27 classes (animal sounds, fire, axe, etc.), converting them into Mel spectrograms and using a CNN model for classification to predict whether a sound is natural or a threat and integrated w flask for an interface
Srilekha-03/WildGuard-AI
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This project uses ML to classify forest sounds and detect potential poaching activities. It analyzes 2,026 audio files across 27 classes (animal sounds, fire, axe, etc.), converting them into Mel spectrograms and using a CNN model for classification to predict whether a sound is natural or a threat and integrated w flask for an interface
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