trellixvulnteam/tabiri_si9i

Front End

This is the presentation layer. from here, SMEs will be able to interact with the system by uploading their data.

• Data Transformation This module allows customers to Transform their uploaded data. Data Preparation Consumes 90% of the time in Predictive analytics. Data Preparation and data Transformation is out of Scope for this study. It is therefore expected that the Data preparation will be done outside this system.

• Upload This module allows the SMES to Upload their Data to the platform ready for prediction. #customer Journey

Customers will:-
- Select Their Industry
- Declare the Number of files they intend to Upload
- Upload the files for prediction

Note: The application will Accept .csv, .xls, .xlsx file formats to be uploaded. The Upload will save the data in a temporaty_table that will be deleted imediately after prediction.

Back End

#Services /upload This POST service will save data into the Temporary table ready for Predition

/displayupload This GET Service will return uploded data ready for prediction

/deleteupload This Service deletes the datathat was uploaded for predition

/classificationmodel This service will send the data into the classification model for prediction

/linerregressionmodel This service will send the data into the linear regression model for prediction

/clusterringmodel This service will send the data into the clustering model for prediction

/classification_results

/regression_results

/clustering_results