SolarX

SolarX extracts real energy bills using OCR and AI, geocodes location, pulls PVGIS irradiance data, and runs a unified solar engine to compute optimal system size, savings, ROI, and climate impact.

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Inspiration

Most homeowners have no idea whether solar actually makes financial sense for them. Bills are confusing. Solar calculators are generic. And real satellite data is rarely used properly.

SolarX was built to turn messy utility data and rooftop assumptions into a clear, physics-backed financial decision.

What it does

SolarX is an AI-powered solar intelligence platform that:

• Extracts electricity bill data using OCR • Analyzes energy consumption and effective tariff rates • Uses real satellite irradiance data to simulate rooftop solar generation • Recommends optimal solar system size • Suggests battery and inverter sizing • Calculates annual savings, payback period, and CO₂ offset • Generates a professional downloadable PDF report • Provides an AI solar assistant for user guidance

It combines bill analysis, geospatial solar modeling, financial forecasting, and AI consultation in one system.

How we built it

We built SolarX using a modular backend architecture with strict validation and deterministic solar math.

The system integrates:

• Geocoding to locate rooftops • Satellite irradiance APIs for real solar yield data • A physics-based solar calculation engine • Tariff modeling and consumption profiling • Optimization logic for ROI and energy offset • OCR + structured AI extraction for bills • Automated PDF report generation • AI-powered solar consultation

Challenges we ran into

Accomplishments that we're proud of

• Built a real satellite-based solar engine from scratch • Implemented ROI and energy-offset optimization modes • Designed a complete automated solar assessment report system • Added intelligent fallback logic when services fail • Created a scalable, production-style backend architecture

What we learned

• Energy modeling must be explainable, not just predictive • API failures must be engineered around • Financial modeling is as important as energy modeling • Clean architecture is critical for complex systems

What's next for SolarX

• Smart meter integration for real-time energy tracking • Time-of-use tariff modeling • GIS-based rooftop shading simulation • Advanced financial sensitivity dashboards • Deployment as a SaaS solar decision platform

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