Lab 10 Audio Features Processing - meetsriharsha/RTBDA_5543 GitHub Wiki

Desciption:

As part of this lab, the extracted audio features are sent to spark and storm through Kafka. The features that are sent to Spark will be used to build a model,and the model will be stored to the MongoDB. This model will be taken by Storm, for classification on the testing data.

Output Results:

Capturing the Input and obtaining Images out of it.

Video Capture:

Capturing the video ans spliting into Images:

Extracted Features out of the Images:

Kafka Producer sending features to Spark:

Kafka Consumer receiving features:

Model generation using Decision Tree Algorithm in Spark:

Storing the model into MongoDB: