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https://github.com/arfanabid/weather-prediction-app
A Full-stack weather prediction application using React for the front end and FastAPI for the back end. The app stores weather prediction data for 300 days in a database and provides functionality to predict and display this data to users.
https://github.com/arfanabid/weather-prediction-app
fastapi javascript python react weather-api
Last synced: 16 days ago
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A Full-stack weather prediction application using React for the front end and FastAPI for the back end. The app stores weather prediction data for 300 days in a database and provides functionality to predict and display this data to users.
- Host: GitHub
- URL: https://github.com/arfanabid/weather-prediction-app
- Owner: ArfanAbid
- Created: 2024-07-02T18:48:53.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-07-08T08:08:29.000Z (7 months ago)
- Last Synced: 2024-11-29T21:45:43.177Z (2 months ago)
- Topics: fastapi, javascript, python, react, weather-api
- Language: Python
- Homepage:
- Size: 63.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Weather-Prediction-APP
# Weather Prediction App
This is a weather prediction application that fetches future weather data from a weather API and stores it in a database. The backend is built with FastAPI and allows fetching daily and hourly weather updates. The frontend is developed using React and Tailwind CSS.
## Features
- Fetch future weather data using a weather API.
- Store fetched weather data in a database.
- Provide daily and hourly weather updates via an API.
- Responsive user interface built with React and Tailwind CSS.
## Technologies Used
- **Backend:** FastAPI, Python
- **Frontend:** React, Tailwind CSS
- **Database:** SQLlite3 (or specify your database)
## Installation
### Prerequisites
- Python 3.8+
- Node.js and npm
- SQLlite (or your chosen database)
### Backend Setup
1. Clone the repository:
```bash
git clone https://github.com/ArfanAbid/Weather-Prediction-APP.git
cd weather-prediction-app/backend
```
2. Create a virtual environment and activate it:
```bash
python3 -m venv venv
source venv/bin/activate
```
3. Install the dependencies:
```bash
pip install -r requirements.txt
```
4. Set up environment variables for the weather API key in a `.env` file:
```env
API_KEY=your_weather_api_key
API_URL=your_weather_api_url
```
5. Run the script to fetch and store future weather data:
```bash
python script.py
```
6. Run the backend server:
```bash
uvicorn main:app --reload
```
### Frontend Setup
1. Navigate to the frontend directory:
```bash
cd ../frontend
```
2. Install the dependencies:
```bash
npm install
```
3. Start the development server:
```bash
npm run dev
```
## Usage
1. Run the backend server:
```bash
uvicorn main:app --reload
```
2. Run the frontend development server:
```bash
npm run dev
```
3. Open your browser and go to `http://localhost:5173/` to see the application in action.
## Contributing
Contributions are welcome! Please fork this repository and submit a pull request for any features, bug fixes, or enhancements.