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https://github.com/kilimoguard/kilimoguard_frontend
The KilimoGuard frontend (v1.0), developed in flask, offers a user-friendly interface for accessing pest prediction and management tools. It features data visualization, real-time updates, and integrates with the backend services to deliver insights to users.
https://github.com/kilimoguard/kilimoguard_frontend
agriculture-research ai machine-learning
Last synced: 8 days ago
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The KilimoGuard frontend (v1.0), developed in flask, offers a user-friendly interface for accessing pest prediction and management tools. It features data visualization, real-time updates, and integrates with the backend services to deliver insights to users.
- Host: GitHub
- URL: https://github.com/kilimoguard/kilimoguard_frontend
- Owner: KilimoGuard
- Created: 2024-07-05T19:36:35.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-08-08T08:55:08.000Z (5 months ago)
- Last Synced: 2024-11-06T22:13:02.515Z (about 2 months ago)
- Topics: agriculture-research, ai, machine-learning
- Language: Python
- Homepage: https://kilimoguard.onrender.com
- Size: 79.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# KilimoGuard
## Overview
KilimoGuard is an innovative Pest Prediction and Management System designed to address the escalating threat of plant and crop pests in East Africa. Leveraging historical data and real-time environmental factors, KilimoGuard provides accurate predictions of potential pest outbreaks, enabling proactive decision-making and sustainable pest management practices.
## Features
* **Predictive Analytics**: Utilizes machine learning models to predict pest outbreaks.
* **Real-Time Monitoring**: Collects and analyzes real-time environmental data to provide timely alerts.
* **User-Friendly Interface**: Accessible via mobile and web applications with intuitive design.
* **Actionable Insights**: Offers recommendations for optimal pest management and sustainable farming practices.
## Directory Description
* **.idea/**: Configuration files for the IDE.
* **__pycache__/**: Compiled Python files.
* **datasets/**: Directory for storing datasets used for training and testing models.
* **static/assets/**: Static files such as images, CSS, and JavaScript.
* **templates/**: HTML templates for the web application.
* **.DS_Store**: System file for macOS directory management.
* **Procfile**: Configuration file for deployment.
* **app.py**: Main application script.
* **requirements.txt**: List of Python dependencies.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/michaelkhanda/kilimoGuard.git
```
2. Navigate to the project directory:
```bash
cd KilimoGuard
```
3. Create and activate a virtual environment:
```bash
python3 -m venv venv
source venv/bin/activate
```
4. Install the required dependencies:
```bash
pip install -r requirements.txt
```
## Usage
1. Run the application:
```bash
flask run
```
2. Access the application through your web browser at `http://127.0.0.1:5000`.
## Contributing
Contributions are welcome! Please fork the repository and submit a pull request with your changes.