Project Title: Weather Forecast Web Application

Introduction:

This project is a web-based weather application developed using Streamlit and a Weather API. It allows users to check real-time weather information for any city around the world. The app provides an easy-to-use interface that displays temperature, humidity, wind speed, weather description, and more in a visually appealing format.

Objective:

The main objective of this project is to:

• Provide real-time weather updates for any location.

• Demonstrate integration of external APIs into a Python web app.

• Build an interactive and user-friendly weather dashboard using Streamlit.

Problem Statement:

In our daily lives, accurate and quick access to weather data is essential for travel, work, and outdoor activities. Many users want a simple web interface where they can instantly check current weather conditions without navigating complex websites or apps.

Proposed Solution:

The Weather App fetches weather data from a reliable public API (such as OpenWeatherMap API) using the city name provided by the user. Streamlit displays the data in a clean and responsive layout. Users can also view additional details like: Temperature in Celsius or Fahrenheit

Technologies Used:

• Programming Language: Python

• Framework: Streamlit

• API: OpenWeatherMap (or any other weather API)

• Libraries: requests, streamlit, json

Workflow / Methodology:

• User inputs the city name in the Streamlit interface.

• The app sends a request to the weather API using the requests library.

• The API responds with current weather data in JSON format.

• The app extracts key data and displays it using Streamlit components.

Conclusion:

The Weather App provides users with instant and accurate weather updates using real-time API data. It demonstrates how APIs can be effectively integrated with Streamlit to create interactive, data-driven web applications.