Watt Wise

Inspiration

In many African communities, power outages and inefficient energy use are daily challenges—especially in homes, schools, and telecom towers. We were inspired to build a simple, affordable tool that forecasts energy consumption using AI, enabling smarter planning and better energy efficiency, even in resource-constrained settings.

What it does

Watt Wise is a lightweight AI tool that predicts electricity consumption for up to 48 hours using time-series data. Users can simulate external factors like temperature and occupancy to optimize energy planning. It works on low-cost devices and doesn’t require continuous internet or heavy infrastructure, making it ideal for underserved areas.

How we built it

TypeScript

CSS

Challenges we ran into

Making the tool lightweight enough to run on low-resource devices

Designing an interface that’s simple enough for non-technical users to use confidently

Simulating real-world external variables like weather and occupancy where data wasn't readily available

Accomplishments that we're proud of

Built a working energy forecasting prototype with real-time predictions

Made it accessible on both web and potentially offline versions

Simulated energy scenarios that demonstrate real savings and impact

Tailored the tool for homes, schools, and telecom towers—high-impact settings in Africa

What we learned

Designing for constraint forces creativity and leads to more inclusive solutions

Real-world adoption requires simplicity, offline access, and actionable output

What's next for Watt Wise

Partner with local utilities and schools for real-world testing

Integrate solar system performance to forecast renewable capacity

Expand to a mobile-first version with SMS/USSD support for low-connectivity regions

Apply for seed funding and partnerships to scale across Africa

Built With

• lovable
• react-native
• typescript