Overview / Usage

This project represents a groundbreaking solution in the field of water resource management. It combines a sophisticated water quality prediction model developed with the Intel OneAPI Toolkit and seamlessly integrates it with a water-centric chatbot. Its primary goal is to enable real-time monitoring of water quality parameters, providing vital information for effective water resource management. By delivering actionable insights through the chatbot interface, this system empowers decision-makers with data-driven tools to address water quality challenges proactively. Additionally, it plays a crucial role in promoting environmental awareness and responsible water usage, contributing to sustainable water resource management.

Methodology / Approach

Our methodology hinges on a systematic approach that harnesses technology to address pressing challenges effectively. We utilize cutting-edge frameworks, industry standards, and innovative techniques in our development process. The foundation of our project lies in the Intel OneAPI Toolkit, a versatile platform enabling high-performance computing. Our predictive model is constructed using machine learning algorithms. This meticulous approach ensures the accuracy and reliability of our predictions, which are critical for informed decision-making. We've implemented a robust water quality prediction model, integrating it seamlessly with a user-friendly chatbot interface. This system aims to revolutionize water resource management, enhance decision-making processes, and promote environmental awareness, ultimately contributing to sustainable water resource management.

Technologies Used

• INTEL oneAPI devcloud -jupyter lab
• INTEL DISTRIBUTION for PYTHON
• INTEL EXYENSION for SCIKIT LEARNER
• INTEL MODIN PANDAS
• MACHINE LEARNING
• STREAMLIT

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Documents and Presentations

Repository

https://github.com/reeshmashahiras/water_quality_prediction

Other links

• google drive