guartet

application-infography

this application is a disktop application purely programmed in java language with the necessary parameters to draw the shapes for the purpose of applying the metrics of computer graphics whether it is 2D or 3D and also the Bézier curves

Emotion_Detection_CNN_

Realization of an application allowing to determine a facial expression of a person or several with the help of CNN. Read and balance the dataset with their labels. Divide the dataset into a training phase and a test phase. Automatically extract features via CNN and do the training. Evaluate the model to know the accuracy. Predict which class an i

Flights_Airports_Spark_AirFlow

Hotels

Big data neo4j

image-processing-application

An image processing application

Moteur-de-recherche-et-classification-des-documents-NLP-

For the purpose of classifying documents and finding the most similar ones for a given query.

Real-time-Twitter-sentiment-analysis

This application analyzes tweets in the following way. First I collect the data from Twitter then I store them on kafka, Then I send the tweets from kafka to kafka consumer to analyze them with sparkStreaming, finally I display the results in kibana with ElasticSearch. Tools:

guartet/application-infography

this application is a disktop application purely programmed in java language with the necessary parameters to draw the shapes for the purpose of applying the metrics of computer graphics whether it is 2D or 3D and also the Bézier curves

guartet/Emotion_Detection_CNN_

Realization of an application allowing to determine a facial expression of a person or several with the help of CNN. Read and balance the dataset with their labels. Divide the dataset into a training phase and a test phase. Automatically extract features via CNN and do the training. Evaluate the model to know the accuracy. Predict which class an i

guartet/image-processing-application

An image processing application

guartet/Moteur-de-recherche-et-classification-des-documents-NLP-

For the purpose of classifying documents and finding the most similar ones for a given query.

guartet/Real-time-Twitter-sentiment-analysis

This application analyzes tweets in the following way. First I collect the data from Twitter then I store them on kafka, Then I send the tweets from kafka to kafka consumer to analyze them with sparkStreaming, finally I display the results in kibana with ElasticSearch. Tools:

guartet/Flights_Airports_Spark_AirFlow

guartet/Hotels

Big data neo4j