Inspiration

We understand 1.7 billion people are affected by poor water quality. We sought this mission statement to help solve problem; saving children, teens, adults and the elderly, from an medieval issue in the 21st century.

What it does

All around SaaS commercial solution for AquaSense to integrate. Performs predictive AI analysis, projections, history, breaches, IoT observation, blockchain compliance auditing AND fully document reports. Additionally, we made the interface include RBAC depending on who views it, and integrated a AI agent, and everything is global/regional (meaning specifically pipelines can be monitored).

How we built it

HTML, CSS, JAVASCRIPT, Python, Free Agents

Challenges we ran into

AI being wrong. Had to perform reinforcement learning. Additionally, we had to research how to do data analysis for the graphs.

Accomplishments that we're proud of

The whole thing. The fact that 2 dudes did it. Within effectively 1 day. We know its impact and that it will be effective should it be implemented within AquaSense as a commerical SaaS; almost free of charge.

What we learned

Data analytics is a journey. Results matter better than planning. Constant feedback always provides a landscape whereby success can be measured.

What's next for AquaSense AI Solution

Full company integration, Cloud LLMs, IoT real-time integration

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