Important Points
- Developed a ML model which can detect a predefined set of 10 different contaminants present in the waste water with
an accuracy of 99.7%.
- Utilized the Random Forest Classifier algorithm for the classification tasks of the samples.
- Trained the model with an dataset exceeding 1,50,000 samples, enabling it to learn and adapt to changes.
- Aqua Alert is able to detect 10 different contaminanted substance which poses a serious global threat to natural ecosystem.
Tools Used : Python, NumPy, Pandas, Matplotlib, Scikit-Learn, Gradio, Hugging Face