We enter the functional engine of LifeOps: exploring dual-view ergonomics (Cards vs Table), workout tracking with dynamic paces and PBs, reading/cinema habits, and a professional Kanban board with chronological progress logging stored in PostgreSQL JSONB. Real code and design decisions inside!
With the FastAPI backend and database ready, it is time to bring the client to life: a modern React frontend featuring Glassmorphism UI, a 360° Recharts dashboard, lightweight native i18n, and cold-start resilience. Here is the step-by-step breakdown!
While Project Weather’s AI prediction model is a highlight, its true robustness lies in its meticulously designed infrastructure. This post explores the significant enhancements in data collection, multilingual support, dynamic data filtering, and UI/UX that elevate the application to a production standard, demonstrating a holistic approach to complex web development.
From data collection to dynamic dashboards, now it’s time to predict! This post explores integrating OpenWeatherMap’s 5-day forecast and building our own 1-day AI prediction model using historical data, all visualized in our interactive frontend.
After building the data collector, it’s time to visualize it! This post guides you through creating an interactive weather dashboard using GitHub Pages or Netlify, JavaScript, PapaParse.js, and Chart.js. Bring your data to life!