OptiVolt

Inspiration

Energy wastage is everywhere — from homes to industries. We wanted AI to make energy smarter, automatic, and sustainable.

What it does

OptiVolt uses Agentic AI to monitor, predict, and optimize energy usage through a smart web dashboard.

How we built it

We designed a React-based dashboard, connected it with a Python backend, and simulated AI agents for energy optimization using dummy datasets.

Challenges we ran into

Integrating AI agent logic into a web dashboard.

Handling real-time data simulation smoothly.

Choosing the right deployment approach.

Accomplishments that we're proud of

A functional dashboard that showcases real-time optimization and proves the potential of Agentic AI for energy management.

What we learned

Building AI-driven dashboards.

Cloud deployment strategies.

How agent collaboration can solve real-world energy problems.

What's next for OptiVolt

Integration with IoT hardware, renewable energy sources, and scaling to smart cities for a greener future.

Built With

• docker-(deployment)
• flask/fastapi
• github-(version-control)-databases:-mongodb-/-firebase-(for-storing-usage-logs)
• heroku-(backend-&-ai-models)
• javascript-frameworks-&-libraries:-react.js
• numpy
• pandas
• recharts/chart.js
• scikit-learn-platforms-&-cloud-services:-vercel-(frontend)
• sqlite-(for-lightweight-demo)-apis-&-tools:-rest-apis
• tailwind-css
• technologies-used-languages:-python
• websockets-(real-time-updates)