Inspiration
In Nepal, many people still rely on water sources that look clean but are actually unsafe. Reports show that more than 80% of drinking water in Kathmandu does not meet WHO standards. This serious issue inspired me to create an affordable and smart system that can predict water contamination before it harms people’s health.
What it does
Purif-AI is a sensor-based, AI-powered water testing system. It measures pH, TDS, ammonia, and nitrate levels in real time, and uses a supervised learning model to predict E. coli contamination. The results are shown instantly on a display and stored in the cloud for easy monitoring.
How we built it
I used sensors connected to an ESP32 microcontroller that collect water quality data. This data is processed using machine learning algorithms trained to predict contamination levels. The system also includes a cloud database for remote access and real-time updates.
Challenges I ran into
I faced difficulties collecting reliable water data for model training and testing. Sensor calibration and cost optimization were also challenging. Another issue was ensuring accuracy while keeping the system low-cost and portable.
Accomplishments that I am proud of
I am proud that purif-ai is a prototype that predicts nitrate and E. coli levels using AI. I also managed to make the design affordable and compact, making it useful for homes and communities in developing areas.
What we learned
I learned how hardware and AI can work together to solve real-world problems. We also improved our understanding of data processing, sensor integration, and model accuracy. Most importantly, I learned that technology can make a big difference in public health.
What's next for Purif-AI
I plan to expand Purif-AI with mobile app support for real-time alerts, improved accuracy with more datasets, and solar-powered operation for remote areas. My goal is to make water testing smart, simple, and accessible for everyone.
Built With
- anologtodigitalconverter
- cloud
- esp32
- oleddisplay
- sensor


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