Use API - Project

Inspiration

The inspiration behind this project came from the need to fetch and display weather data dynamically using an API. With the rise of using APIs in modern applications, I wanted to explore how APIs work, how to fetch real-time data, and how to process and display that data effectively.

What it does

This project allows users to:

• Input a city name.
• Fetch real-time weather information from the OpenWeatherMap API.
• Display essential weather details such as temperature, humidity, wind speed, and weather conditions.

How we built it

• Python was used to build the application.
• We utilized the Requests library to interact with the OpenWeatherMap API and fetch weather data in JSON format.
• The data is parsed from the API response and presented to the user in a readable format.
• The program takes user input for the city name, then fetches and displays the relevant weather information.

Technologies used:

• Python for the backend.
• Requests for making API calls.
• JSON to handle and parse the data from the API.

Challenges we ran into

• Initially, we encountered the 401 Unauthorized error due to an incorrect API key or misconfiguration. Solving this required careful verification of the API key and ensuring proper integration.
• Handling edge cases like invalid city names and managing API rate limits was another challenge that needed to be addressed.

Accomplishments that we're proud of

• Successfully fetched and displayed real-time weather data.
• Gained hands-on experience working with APIs in Python.
• Managed to troubleshoot the 401 error, and ensure proper authentication with OpenWeatherMap's API.

What we learned

• How to interact with an API using Python and the requests library.
• How to handle and parse JSON data received from an API.
• The importance of API key management and handling errors such as 401 Unauthorized.

What's next for Use API

• Enhance the user experience by adding a graphical interface with Tkinter or PyQt.
• Incorporate additional features like a 7-day forecast or displaying weather data in charts.
• Add error handling for invalid city names or other potential issues (e.g., network failures).
• Explore integrating more APIs to provide additional data, such as air quality or UV index.