by kandikits Updated: Dec 23, 2022
This starter kit presents a very simple solution based on AI/ML that helps tackle the problem of water pollution caused due to poor quality detergents. This kit uses the 'IoT Sensor' dataset which has information on Detergent Quality - 'Good' or 'Bad', based on certain detergent manufacturing parameters. The solution uses the Supervised Machine Learning technique to predict whether the detergent is of good or bad quality thereby resulting in water pollution. This solution can be deployed for enhancing the footprint of detergents on Aquatic Ecosystems.
Here is how you get started!
For your HACK-A-THON, you may utilize this kit in the following ways:
Follow the below instructions to run the solution. This is our source code updated in GitHub for our VIT hackathon entry. The below repo is an example. Please replace with your source code from GitHub.
For Windows OS, Download, extract and double-click the kit installer file to install the kit. Note: Do ensure to extract the zip file before running it. The installation may take from 2 to 10 minutes based on bandwidth.
For other Operating System,
Instructions to Run
Development Environment
VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers. Jupyter Notebook is used for our development.
Group Name 1
Jupyter Notebook 9737 Version:v7.0.0a11
Jupyter Notebook 9737 Version:v7.0.0a11 License: Others (Non-SPDX)
Exploratory Data Analysis
For extensive analysis and exploration of data, and to deal with arrays, these libraries are used. They are also used for performing scientific computation and data manipulation.
Python 22606 Version:1.24.1
Python 22606 Version:1.24.1 License: Permissive (BSD-3-Clause)
Python 36769 Version:1.5.2
Python 36769 Version:1.5.2 License: Permissive (BSD-3-Clause)
Machine Learning
Machine learning libraries and frameworks here are helpful in providing state-of-the-art solutions using Machine learning.
Python 52779 Version:1.2.0
Python 52779 Version:1.2.0 License: Permissive (BSD-3-Clause)
Data Visualization
The patterns and relationships are identified by representing data visually and below libraries are used for generating visual plots of the data.
Python 16804 Version:3.6.2
Python 16804 Version:3.6.2 License: No License
Troubleshooting
If your computer doesn't support standard commands from windows 10, you can follow the instructions below to finish the kit installation.
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