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    • All Details Related to the project
      0000Updated Jul 6, 2020Jul 6, 2020
    • IDA_NLP

      Public
      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%.
      Jupyter Notebook
      2000Updated May 30, 2020May 30, 2020
    • IDA-Audio

      Public
      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…
      Jupyter Notebook
      2100Updated May 26, 2020May 26, 2020
    • 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 serv…
      HTML
      1000Updated May 26, 2020May 26, 2020
    • 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.
      Dart
      4200Updated May 26, 2020May 26, 2020