Inspiration
As a homeowner frustrated by rising utility costs and pricey professional energy audits, I saw a gap: accessible, affordable tools to identify waste. I wanted to empower families to take control of their energy use—no experts, no upfront fees, just clear, actionable insights tailored to their home’s unique needs.
What it does
HomeEnergy Audit is a web tool that lets homeowners input their home’s details (size, age, HVAC type, etc.) and energy bills to get AI-generated energy waste analysis. Free results include top waste areas and low-cost fixes; a $49 premium report adds full ROI-sorted recommendations, government rebate info, savings dashboards, and printable PDFs.
How we built it
We started with core user flows: input → AI analysis → results. Using React for the frontend (responsive design for all devices) and Node.js/Express for the backend, we integrated AI logic to calculate waste based on home attributes. We added Chart.js for visualizations, Stripe for payments, Google Maps API for geolocation-based rebate matching, and PDFKit for report generation. AWS hosted the app, with PostgreSQL storing user input and rebate data.
Challenges we ran into
Calibrating AI logic to accurately calculate waste across diverse home types (old vs. new, different climates) was tough—we iterated with real-world home data to refine formulas. Geolocation edge cases (unrecognized locations) required building a robust dropdown validation system. Ensuring payment processing was seamless (and error-handling clear) also took multiple tests to perfect.
Accomplishments that we're proud of
We built a fully responsive tool that delivers actionable insights in 5-10 seconds—no login required. The premium tier’s rebate locator has helped users unlock unclaimed incentives, and the simple $49 one-time purchase model (no subscriptions) resonates with homeowners tired of recurring fees. We’re proud it’s accessible to all, from eco-conscious families to those just looking to cut bills.
What we learned
We deepened our understanding of energy efficiency metrics and ROI calculation for home upgrades. Building user-centric error handling (e.g., invalid numeric inputs) taught us the importance of clear, empathetic UX. We also learned how to integrate multiple APIs seamlessly—balancing functionality with load times to keep the app fast and intuitive.
What's next for this project
We plan to expand rebate data to cover more regional incentives, add personalized energy consumption tracking over time, and refine the AI model to include appliance-specific waste analysis. We’re also exploring partnerships with local utility companies to validate savings estimates and offer exclusive rebates for tool users. Finally, we’ll add a simple way to share results with contractors for quick upgrade quotes.
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