• https://github.com/marielleloui
• https://linkedin.com/in/marielle-louise-cruz

• https://linkedin.com/in/zhong-xien-yeoh-137141173

This application was developed as a way to extract information from support tickets, categorise ticket data into clusters with the use of Machine Learning models, create sorted CSV outputs, and visualise data in a more meaningful way

• A minimalist User Interface
• Accepts CSV files
• Sends CSV files from Front-End to Back-End for processing
  (Via an XHR request from Javascript to Flask)
• Displays an ML scatter plot diagram
• Allows user to download a sorted CSV output

• Accepts POST requests
• Saves output to local drive
• Unsupervised Machine Learning

• Reading input data
• TF-IDF Model
• Filtering
• Clustering using K-Means
• Data Visualisation

• HTML
• CSS
• JavaScript
• Flask
• Python (+ scikit.learn)
• Splunk *
• Docker *