An analytics-based asset management system design to log, monitor, and manage a network of electrical transformers & transformer failures.
This repository contains the proof-of-concept version of CookieAMS, developed to be presented at the MISSA ITC conference. For more information, visit their website here
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- Sorting, filtering, and pagination features for tables to enhance user experience.
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- Built-in authentication protects transformer database from being tampered by unauthorized individuals.
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- Analytics-based predictions using various classification & clustering machine learning models
- Create a virtual environment:
$ virtualenv env
- Activate the virtual environment:
$ source env/scripts/activate
- Download the required libraries on your virtual environment:
$ pip install -r requirements.txt
- Run the servers:
$ ./start.sh api # Start the API server
$ ./start.sh client # Start the client server
$ ./start.sh # Start both at the same time
- To check out the dashboard, use the URL
http://localhost:5000
and you're good to go!