Weather Forecast and Solar Energy Prediction Application

This repository contains the solution for the recruitment task provided by Codibly IT Academy. The application is built with the following stack:

• Backend: Python + FastAPI
• Frontend: React + TypeScript + Next.js

Project Overview

The application provides weather forecasts for the next 7 days and estimates solar energy production based on the forecasted weather conditions.

Backend

Features

• Two API Endpoints:

  1. 7-day Weather Forecast:
     • Returns:
       • Date
       • Weather code
       • Minimum and maximum temperatures
       • Estimated energy production in kWh
  2. Weekly Summary:
     • Returns:
       • Average pressure
       • Average daily sun exposure time
       • Extreme temperatures of the week
       • General weather summary (e.g., "Rainy week" or "Dry week")

• Calculation:

  • Solar energy production:

    Energy [kWh] = Power [kW] x Sun Exposure Time [h] x Panel Efficiency
    

    • Power = 2.5 kW
    • Efficiency = 20%

• Validation:

  • Validates latitude and longitude inputs.
  • Handles errors from external API.

• Data Integration:

  • Fetches weather data from the Open-Meteo API.

Frontend

Features

• Weather Table:

  • Displays:
    • Date (DD/MM/YYYY)
    • Weather icon
    • Minimum and maximum temperatures
    • Estimated energy production (kWh)

• Footer Summary:

  • Displays:
    • Weekly extreme temperatures
    • Average pressure
    • Average sun exposure time
    • General weather summary

• Extras:

  • Automatically detects user location.
  • Responsiveness and Dark Mode.