App for renting/buying/selling properties created using Angular, Spring Boot and PostgreSQL
-
Updated
Apr 14, 2024 - Java
App for renting/buying/selling properties created using Angular, Spring Boot and PostgreSQL
This 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.
A project for FBLA Coding & Programming
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.
Using the openweather API and geoapify API to create a map of vacation locations based on weather preferences.
🌦 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
React Native Uber app with Redux, Tailwind, Map API and more ...
shows the city of the user, based on geoapify and open layers
A visual analysis using linear regression, r-values, geoViews, and Geoapify to examine weather changes as the equator is approached. Results are used to create a map displaying the most pleasant vacation spots.
Web scrapping all Egyptian houses, classifying their area on administrative 2 level, and calculating the average house prices for every region. Topics: Web Scrapping, Geopandas, Geoapify API, Data Analysis.
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.
Exploring the Travelling Salesman Problem
MERN practice 2
Arrest data visualization and mapping
A simple weather forecasting application built with Laravel that can display weather update from Japan as a coding exam for Bizmates Ph
Real estate Application with listings and administration panel
Performed analysis, visualization, and statistical analysis on weather data for a hypothetical travel company, PlanMyTrip.
Map visualisations of cities and accommodation across 500 random locations, along with weather conditions and their relationship to latitude.
Add a description, image, and links to the geoapify topic page so that developers can more easily learn about it.
To associate your repository with the geoapify topic, visit your repo's landing page and select "manage topics."