SIDE PROJECT 07 / 13

WeatherPredict

AI-powered, hyperlocal weather forecasting with interactive maps and historical analysis.

WeatherPredict combines traditional meteorological data with client-side machine learning to forecast weather patterns with more precision than a typical API-only app, across any location with customizable time frames.

WeatherPredict dashboard
FIG. 01 — WEATHERPREDICT DASHBOARD
AI-Driven
TECHNOLOGY
ADVANCED PREDICTIONS
25%
GREATER ACCURACY
THAN TRADITIONAL FORECASTS
Real-time
UPDATES
MINUTE-BY-MINUTE REFRESH
7 Days
FORECAST WINDOW
WITH HOURLY PRECISION
ABOUT

The frontend integrates multiple weather data APIs, Mapbox-based interactive maps, and D3.js visualizations, while a TensorFlow.js model runs hyperlocal microclimate predictions directly in the browser.

  • Hyperlocal forecasting with neural-network pattern recognition for microclimates.
  • Interactive multi-layer weather maps: radar, satellite, and temperature-gradient overlays.
  • 7-day hourly forecasts with historical comparison charts.
  • Severe weather alerting with customizable thresholds.
HOW IT WORKS
01

Location intelligence

Precise, location-based forecasting.

  • Address and coordinate lookup
  • Geolocation for current position
  • Travel-route weather mapping
02

AI weather modeling

Machine-learning enhanced forecasting.

  • TensorFlow.js neural network models
  • Hyperlocal microclimate detection
  • Confidence scoring per prediction
03

Data visualization

Interactive charts and weather maps.

  • Temperature and precipitation curves
  • Wind direction and speed visualizations
  • Multi-layer radar/satellite maps
UNDER THE HOOD
Weather APIsNext.js + TypeScriptTailwind CSSD3.jsMapbox GLTensorFlow.js