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ida-audio icon ida-audio

Audio is sent to DEEP-LEARNING 7-LAYERED DNN Model , which considers spectrogram of the audio and uses the Librosa library for classifying the particular emotions Angry, Sad, Disgust, Surprised, and a testing accuracy of 75%. The calls are classified based on following features in our DL Model: ### MelSpectrogram, MFCC, Spectral-Contrast, Chroma,Tonnetz The text is prioritized using TF-IDF, Page Ranking, Cosine Similarity using steps:

ida-mobile-application-flutter icon ida-mobile-application-flutter

A cross-platform mobile application which will be by the victims to call and lodge complains to helpline centers. Enhanced multi-level precedence and pre-emption based priority relief routing should be implemented in India along with the option to pre-empt ongoing services, if needed in order to ensure efficacy.

ida-website icon ida-website

A B2C AI model, which can tackle large volumes of information during calamities, assist the relief committee and prioritize the information accurately, reducing the response time and damages. Enhanced multi-level precedence and pre-emption based priority relief routing should be implemented in India along with the option to pre-empt ongoing services, if needed in order to ensure efficacy.

ida_nlp icon ida_nlp

Audio is sent to DEEP-LEARNING 7-LAYERED DNN Model , which considers spectrogram of the audio and uses the Librosa library for classifying the particular emotions Angry, Sad, Disgust, Surprised, and a testing accuracy of 75%.

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