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Project Overview

Residential Solar Monitoring Platform

A dashboard concept for turning raw solar production data into something a homeowner can actually read, compare, and act on day by day.

October 2025 - January 2026
01Why It Matters

Problem

Many energy dashboards show charts but do not explain what changed, whether the system is healthy, or which trend deserves attention.

For a homeowner, raw production values are only useful when they become readable signals: today versus yesterday, expected versus actual, normal variation versus possible issue.

  • Solar data can become overwhelming when production, weather, battery state, and household usage are shown without hierarchy.
  • Users need repeated daily visibility, not a one-time analytics report.
  • The interface needed to support future predictive maintenance without making the current experience feel complicated.
02What I Did

Decision

I designed the platform around daily monitoring and clear summaries, prioritizing the information a homeowner would check most often.

The architecture was shaped as a full-stack system with database-backed records, dashboard views, and visualization modules that could later support forecasting and maintenance alerts.

  • Organized the experience around production trends, performance summaries, and comparison across time windows.
  • Used React, Next.js, TypeScript, PostgreSQL, and Chart.js as a practical stack for an interactive monitoring product.
  • Kept the visual language calm so the dashboard could be used repeatedly without feeling like an alarm panel.
03What I Learned

Learning & Impact

The platform shaped my thinking about sustainability tools that explain themselves without overwhelming the user.

It became a bridge between data engineering, interface design, and renewable-energy analytics.

  • Created a foundation for continuous solar performance monitoring.
  • Prepared a product structure that can grow into predictive maintenance and energy intelligence.
  • Improved my ability to design dashboards around user decisions rather than chart quantity.

Takeaway

This project helped me practice translating technical signals into a product surface. The hardest part was deciding which details should be visible immediately and which should stay one click deeper.

Stack & Links

ReactNext.jsTypeScriptPostgreSQLChart.js
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