Water quality analysis for Aquaculture
- Designed and optimised machine learning models to predict changes in aquaculture water quality parameters, improving early detection of potential issues.
- Classified different parameters like Turbidity, PH, Temperature etc. into good/bad depending on established research and used random forest algorithm to create a prediction model.
- Developed and maintained data dashboards for real-time monitoring of water quality using Streamlit interface.