Python toolkit for water quality indices (WQI, WPI) and multivariate analysis of heavy metal data: correlation, K-means, factor analysis, dendrograms.
AI-powered Android app for real-time water quality monitoring using IoT sensors. Predicts WQI score & disease risk (Cholera, Typhoid, Diarrhea) via a Random Forest ML model. Built with Kotlin, Firebase & hardware sensor integration.
Machine learning regression pipeline to predict Water Quality Index (WQI) from physicochemical and microbiological water parameters. Benchmarks 6 models, Linear Regression wins with R² = 0.9916.
Real-time water quality analyzer using MSP430G2553. Features hardware-software integration for sensor reading (pH, TDS, DS18B20), OLED visualization, and wireless web tracking via HC-05.
AI-powered Indian water quality analysis and WQI prediction using Python, Random Forest, and Streamlit.
Predicting Water Quality Index (WQI) and categorical classification using Deep Learning Neural Networks on CPCB India environmental monitoring data (2019-2022).
Comprehensive Water Quality Monitoring Software (14 Indices + 10 Diagrams) developed for Ministry of Energy.
The water quality index is a project created for the final project (thesis). This project will predict and classify the water quality index, whether the quality is safe or unsafe.
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