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  Electrical hardware inside box

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  Projections Page showing ML forecasted usage

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  ML Projections Page with Insights

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  Historical trends

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  Picture of Hardware codebase

🌊 HydroMIND

💡 Inspiration

Access to clean, safe water remains a persistent challenge for many First Nations communities. Recognizing this critical issue, we set out to develop an affordable, user-friendly solution that empowers individuals to actively monitor water quality and consumption, ensuring greater transparency, sustainability, and accessibility.

🔍 What It Does

Our smart water monitoring system provides:

• Real-time tracking of water usage
  
• Analysis of water history usage
  
• Predictive algorithm for future water spendage
  

🛠 How We Built It

We developed a sensor-based system using durable, eco-friendly components. The collected data is processed in real time and sent to our web platform, ensuring easy and accessible monitoring for users.

🚧 Challenges We Faced

• Designing a cost-effective yet reliable system
  
• Ensuring seamless connectivity in remote areas
  
• Creating a user-friendly interface for all technical levels
  

🎉 Accomplishments We're Proud Of

✅ Built an intuitive, low-cost solution
✅ Achieved high energy efficiency
✅ Developed a system that can make a real impact on water conservation and quality monitoring

📚 What We Learned

• Hardware-software integration for real-time data processing
  
• Optimizing energy efficiency for long-term sustainability
  
• Designing for real-world accessibility in diverse environments
  
• A deeper understanding of water security challenges
  

🚀 What's Next?

🔹 Refining the design for better performance
🔹 Expanding data analytics capabilities
🔹 Collaborating with First Nations communities to implement and improve the system for long-term impact

Built With

• arduinomega
• c
• ml
• openai
• python
• streamlit