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philwamba/MavunoForecast

Domaine:

agricultureclimate

Type de record:

software
Créateur:
phi
Hôte:
MavunoForecast is a USSD-based weather alert system targeting an East African small scale smallholder farmers. # MavunoForecast MavunoForecast is a USSD-based weather alert system targeting an East African audience. The application provides real-time weather updates and alerts, with support for Swahili and English languages. Users can customize their alert preferences and receive location-based weather information. ## Features - **Real-Time Weather Alerts:** Receive the latest weather updates for your location. - **Location-Based Services:** Get accurate local weather information based on your location. - **Customization:** Set your preferred language (Swahili/English) and customize alert preferences. - **Error Handling:** Robust error handling ensures a seamless user experience. ## System Architecture ### Components 1. **USSD Gateway:** Manages incoming USSD requests and responses. 2. **Node.js Backend:** Handles business logic, communicates with the weather API, and manages the database. 3. **Weather API:** Fetches real-time weather data. 4. **Database:** Stores user preferences, locations, and logs. ### Flow 1. User dials the USSD code. 2. The USSD Gateway forwards the request to the Node.js backend. 3. The backend processes the request, fetches weather data, and updates/queries the database. 4. The backend sends the appropriate response back through the USSD Gateway. ## Installation ### Prerequisites - Node.js and npm installed on your machine. - MongoDB or another database service. - API key from a weather service provider (e.g., OpenWeatherMap). - USSD Gateway service (e.g., Africa's Talking). ### Steps 1. **Clone the repository:** ```bash git clone github.com cd mavunoforecast ``` 2. **Installation** ### Install dependencies: ```bash npm install ``` ## Contributing Contributions are welcome! Please open an issue or submit a pull request for any features, bug fixes, or improvements. ## License This project is licensed under the MIT License. See the LICENSE file for details.

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