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MKSA Quality Checker

Our Machine Learning Model will calculate how good your MKSA is

#Meet the Team

Member Student ID Path Role Contacts
Christopher Adrian Kusuma M2004F0421 Machine learning Machine Learning Developer LinkedIn - Adrian or Github - Adrian
Tri Rizki Yuliawan M7004F0422 Machine learning Machine Learning Developer LinkedIn - Tri or Github - Tri
Dede Yusuf P. Kuntaritas M2004F0214 Machine learning Machine Learning Developer LinkedIn - Dede or Github - Dede
Dava Aditya Jauhar M7004F0423 Machine Learning Machine Learning Developer LinkedIn - Dava or Github - Dava
Ghimnastiar Al Abiyyuna C2004F0425 Cloud Computing DevOps LinkedIn - Agim or Github - Agim
Feri Ginanjar C7013F1361 Cloud Computing DevOps LinkedIn - Feri or Github - Feri

About MKSA Quality Checker

MKSA Quality Checker is built by Siamese LSTM to detect semantic similarity between two data

main Features

  • Calculate our mksa score
  • View and delete our previous mksa score

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How to replicate

assuming you already have Google Cloud Platform Project with linked billing account.

  • Go into Navigation menu
  • Click Compute Engine
  • Click VM instances then create New Instances
  • we use machine with

n1-standard-1 /10 GB disk space /Ubuntu 18.04.6 LTS OS

  • after created, connect into ssh
  • clone this repository
  • Install all the dependencies using pip install -r requirements.txt
  • run main.py using python3 main.py

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Screenshot of our website

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mksa

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