Pinned Repositories
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
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-README
All Details Related to the project
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
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%.
IDA-Caffeine-Overflow's Repositories
IDA-Caffeine-Overflow/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-Caffeine-Overflow/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-Caffeine-Overflow/IDA-README
All Details Related to the project
IDA-Caffeine-Overflow/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-Caffeine-Overflow/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%.