Inspiration
Rwanda loses $1.7 billion annually —12% of its GDP— due to air pollution-related costs. Farmers struggle with unpredictable weather patterns, industries face **sustainability compliance challenges, and the government lacks **granular environmental data for policymaking.
We were inspired to create Stratos, a smart environmental monitoring system, to address these pressing issues. Our goal was to develop an **affordable, real-time IoT solution that empowers farmers, industries, and governments with data-driven insights to drive sustainability.
With only four days in this hackathon, we set out to build a system that could:
- Enable farmers to optimize yields and reduce losses.
- Help industries meet environmental regulations and improve sustainability.
- Provide governments with actionable data for climate action and public health policies.
By integrating IoT sensors, AI analytics, and solar-powered hardware, we built a **scalable, impactful solution designed for Rwanda’s unique environmental challenges.
What it does
Stratos tracks CO, CO₂, NH₃, temperature, and humidity using smart sensors. It helps:
- Farmers predict weather changes and protect crops.
- Industries monitor emissions for compliance.
- Governments access real-time air quality data.
How we built it
We rapidly prototyped Stratos using:
- IoT sensors for environmental data collection.
- AI-driven analytics for insights and predictions.
- Cloud-based dashboards for real-time visualization.
- Solar-powered hardware for off-grid use.
Challenges we ran into
- Limited time to refine sensor calibration.
- Data accuracy adjustments for local conditions.
- UI/UX optimization for better user experience.
Accomplishments that we're proud of
- Built a working prototype in just four days.
- Implemented real-time data processing.
- Designed a multi-language dashboard.
What we learned
- Rapid prototyping requires agile teamwork.
- IoT + AI can drive sustainability solutions.
- User-friendly design ensures broader adoption.
What's next for Stratos
- Refining sensor accuracy for field deployment.
- Expanding to more environmental metrics.
- Partnering with local organizations for scale.
Built With
- adafruit
- arduino
- javascript
- openstreetmap
- openweatherapi
- react
- shadcn/ui
- tailwind
- typescript
- vite
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