A partialy prerendered site made with Svelte, with dynamic content loaded from Firebase

A PyPortal based flight tracker

Exploring the Travelling Salesman Problem

The purpose of this project is to showcase an Angular Project with a weather forecast capability.

Performed analysis, visualization, and statistical analysis on weather data for a hypothetical travel company, PlanMyTrip.

Python API Challenge

Module 6 challengeThis project involved using Python and an API to investigate weather trends near the equator by collecting and analyzing weather data. The analysis helped to draw conclusions and provide insights into the factors affecting weather trends in this region.

Create two Jupyter Notebooks: use API calls to determine weather conditions for 500 cities around the equator; use Geoapify API based on the weather analysis to plan future vacations.

Real estate Application with listings and administration panel

A simple weather forecasting application built with Laravel that can display weather update from Japan as a coding exam for Bizmates Ph

Telegram Bot with Node-Red Sync Teslamate and ABRP

App for renting/buying/selling properties created using Angular, Spring Boot and PostgreSQL

Interact with API's to gather current weather conditions for global random cities. Use the gathered Weather data to determine vacation opportunities by identifying the nearest hotel.

Arrest data visualization and mapping

Weather and Vacation Analysis: Explore the relationship between latitude and weather variables. Generate scatter plots and regression models. Filter weather data to find cities with desired conditions. Locate nearby hotels for vacation planning. Python, Jupyter Notebook, Pandas, Matplotlib, Citipy, OpenWeatherMap API, Geoapify API.

🌦 Create a Python script to visualize the weather of over 500 cities of varying distances from the equator, and use the data skills to plan future vacations

The project was an introduction to using APIs and parsing their responses using python and PANDAS and Matplotlib libraries.

Map visualisations of cities and accommodation across 500 random locations, along with weather conditions and their relationship to latitude.