https://github.com/patrickniyogitare28/pld2-agrilink-1.0

The command line interface application for ALU python and programing class. PLD2-Activity, Cohort 2, Negpod25
https://github.com/patrickniyogitare28/pld2-agrilink-1.0

Last synced: about 1 month ago
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The command line interface application for ALU python and programing class. PLD2-Activity, Cohort 2, Negpod25

• Host: GitHub
• URL: https://github.com/patrickniyogitare28/pld2-agrilink-1.0
• Owner: PatrickNiyogitare28
• Created: 2024-03-28T22:55:28.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-03-31T19:02:22.000Z (9 months ago)
• Last Synced: 2024-10-15T03:53:11.346Z (3 months ago)
• Language: Python
• Size: 43.9 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Agri-Link 1.0

Agri-Link 1.0 is a command-line application designed to assist both climate agency personnel and local farmers in accessing and managing climate data for specific locations across sub-Saharan Africa.

## Features

- Climate agency personnel can input climate metrics (temperature, precipitation, humidity, wind speed) for specific dates and locations, which are then saved into a CSV file.

- Farmers can access climate data for specific locations, view it in visually appealing formats, and filter it by date or location.

## Libraries Used

- [pandas](https://pandas.pydata.org/): Used for data manipulation and analysis.

- [rich](https://rich.readthedocs.io/en/latest/): Used for styling and formatting output in the terminal.

## How to Run

1. Make sure you have Python installed on your system.

2. Install the required libraries by running: `pip install pandas rich`.

3. Download or clone this repository to your local machine.

4. Navigate to the directory containing the files.

5. Run the program by executing `python app.py` in your terminal.

6. Follow the on-screen instructions to interact with the program.

## Usage

- Select your role: Agency or Farmer.

- For agency personnel:

  - Input climate metrics when prompted.

- For farmers:

  - Choose from options to list all data, search by date, or search by location.

  - Follow the prompts to input date or location for filtering data.

## Demo

[Watch Demo Loom](https://www.loom.com/share/db31646fbcb746699a12b05ac46420b4?sid=b0d0b521-6ebf-4f93-90f3-80cbf131f37c)

https://www.loom.com/share/db31646fbcb746699a12b05ac46420b4?sid=b0d0b521-6ebf-4f93-90f3-80cbf131f37c

## Contributors

- [Blessing Hirwa](https://github.com/hirwablessing)

- [Ayomide Agbaje](https://github.com/AgbajeCity)

- [Ange Nicole Mukundwa](https://github.com/AngeNicole)

- [Kerie Izere](https://github.com/izerekerie)

- [Aubert Gloire](https://github.com/aubert-gloire)

- [Patrick Niyogitare](https://github.com/patrickniyogitare28)