💧 Fresh Water Quality Detector

Exploring the potential of machine learning in predicting the quality of fresh water.

Our aim is to create an accurate and efficient model that can determine the quality of fresh water based on various factors such as source, location, season, etc. The repository contains the code and data used in the development of the model, as well as the results and findings of the project.

Intel DevMesh Project : Fresh Water Quality Detector

⚡Instructions

• Step 1 : Download the repository files.
• Step 2 : Install the packages in requirements.txt.
• Step 3 : Open terminal, and navigate to the above code folder.
• Step 4 : Type streamlit run FWD.py on the command terminal/shell and your app will be running locally in localhost:8505.

Or else

you can simply check the website : Fresh Water Quality Detector

💠 Screenshots

💠 Dataset

The dataset can be downloaded from here.

💠 Team members

• Arjun Raj
• Akhil Anil

Note: The entire application was generated during the Intel® oneAPI Hackathon for Open Innovation 2023.