https://github.com/mohammadmoataz2/weather-forecasting-application

This project aims to provide accurate weather forecasting for various cities in Jordan. The project comprises data collection, model building, data visualization using Power BI, and a web interface for user interaction. Additionally, it integrates real-time data streaming from sensors for live updates.
https://github.com/mohammadmoataz2/weather-forecasting-application

ai ardiuno forecasting machine-learning node-red power-bi python sensors weather weather-forecasting web-app

Last synced: 7 months ago
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This project aims to provide accurate weather forecasting for various cities in Jordan. The project comprises data collection, model building, data visualization using Power BI, and a web interface for user interaction. Additionally, it integrates real-time data streaming from sensors for live updates.

• Host: GitHub
• URL: https://github.com/mohammadmoataz2/weather-forecasting-application
• Owner: MohammadMoataz2
• Created: 2024-05-19T19:56:33.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-07T13:26:08.000Z (over 1 year ago)
• Last Synced: 2025-01-21T10:14:00.709Z (9 months ago)
• Topics: ai, ardiuno, forecasting, machine-learning, node-red, power-bi, python, sensors, weather, weather-forecasting, web-app
• Language: HTML
• Homepage:
• Size: 11 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Weather Forecasting Project

 Made by [Masa Aladwan](https://github.com/MasaAladwan) and [Mohammad Moataz](https://github.com/MohammadMoataz2)

## Overview

This project aims to provide accurate weather forecasting for various cities in Jordan. The project comprises data collection, model building, data visualization using Power BI, and a web interface for user interaction. Additionally, it integrates real-time data streaming from sensors for live updates.

![Blue and Yellow Modern Data Analysis Presentation (2)](https://github.com/MohammadMoataz2/DiabetesPlatform/assets/123085286/ee05fe5e-7863-45c3-b5dd-0bc17d97b6fa)

## Project Components

### 1. Data Collection

- **Source**: Meteostat API

- **Parameters Collected**: Temperature (temp), Pressure (pres), Wind Direction (wdir), Wind Speed (wspd), Date and Time (datetime)

- **Technology Used**: Python

### 2. Data Processing and Model Building

- **Cities Covered**: Various cities in Jordan

- **Models Developed**:

  - Temperature Prediction Model

  - Pressure Prediction Model

  - Wind Direction Prediction Model

  - Wind Speed Prediction Model

- **Input**: City and Date

- **Output**: Predicted values for Temperature, Pressure, Wind Direction, and Wind Speed

- **Libraries Used**: 

  - `scikit-learn` for building machine learning models

  - `pandas` for data manipulation

### 3. Web Interface

- **Framework**: FastAPI

- **Features**:

  - User form to input City and Date

  - Display forecasted weather values

  - Two main buttons:

    1. **Dashboard**: Redirects to the Power BI dashboard displaying historical and forecasted data

    2. **Real-Time Data Streaming**: Displays real-time data from sensors

![image](https://github.com/MohammadMoataz2/DiabetesPlatform/assets/123085286/5529bd38-1616-4644-8537-720fe39f5e25)

### 4. Data Visualization

- **Tool Used**: Power BI

- **Features**:

  - Interactive dashboard

  - Date range selection from 1999 to 2023

  - City-specific weather data visualization

![image](https://github.com/MohammadMoataz2/DiabetesPlatform/assets/123085286/2be46415-c244-48b9-b5ca-75ca805572cf)

### 5. Real-Time Data Integration

- **Sensors Used**:

  - Ultrasonic Sensor HC-SR04

  - DHT11 Humidity & Temperature Sensor

- **Technology Stack**:

  - **Node-RED**: For data collection and processing from sensors

  - **Power BI**: For real-time data visualization

- **Functionality**:

  - Node-RED collects data from sensors

  - Processes data and feeds it into the pipeline

  - Sends processed data to Power BI for real-time dashboard updates

![2024-05-1920-05-15-ezgif com-video-to-gif-converter](https://github.com/MohammadMoataz2/DiabetesPlatform/assets/123085286/50752fa0-796f-4adc-b527-9a209e08f2b9)

![image](https://github.com/MohammadMoataz2/DiabetesPlatform/assets/123085286/c36c39c9-fa47-4ce4-bb88-de467736f10c)

![circ_photo](https://github.com/MohammadMoataz2/DiabetesPlatform/assets/123085286/f5c03024-2344-42cc-b0e6-cfae11c32ef9)

## Installation

1. Clone the repository:

    ```bash

    git clone https://github.com/MohammadMoataz2/WeatherForecasting.git

    ```

2. Install dependencies:

    ```bash

    pip install -r requirements.txt

    ```

## Usage

1. Run the application:

    - **main.html**

    - **main.py** --> python -m uvicorn main:app --reload

2. Input your information to predict the Weather.