https://github.com/protectorgamer/agro.ai
An advanced AI-powered solution designed to scan and detect diseases in plants. Our innovative technology provides actionable insights and necessary tips to ensure the health and productivity of your plants.
https://github.com/protectorgamer/agro.ai
agricutlure ai animation css modern plant tech
Last synced: 3 months ago
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An advanced AI-powered solution designed to scan and detect diseases in plants. Our innovative technology provides actionable insights and necessary tips to ensure the health and productivity of your plants.
- Host: GitHub
- URL: https://github.com/protectorgamer/agro.ai
- Owner: ProtectorGamer
- License: mit
- Created: 2024-08-22T19:47:02.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-07T10:22:52.000Z (about 1 year ago)
- Last Synced: 2025-03-14T18:37:32.088Z (7 months ago)
- Topics: agricutlure, ai, animation, css, modern, plant, tech
- Language: CSS
- Homepage:
- Size: 6.81 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Security: SECURITY.md
Awesome Lists containing this project
README
# Agro.ai
## Total Commits
Welcome to Agro.ai, an advanced AI-powered solution designed to scan and detect diseases in plants. Our innovative technology provides actionable insights and necessary tips to ensure the health and productivity of your plants.
## Authors
- [@BOSS294](https://github.com/BOSS294)
- [@jindalpriyanshu101](https://github.com/jindalpriyanshu101)
- [@ProtectorGamer](https://github.com/ProtectorGamer)
## 📈 Features
### 🌱 **Disease Detection**
- **AI Scanning:** Utilizes advanced AI algorithms to accurately scan and identify diseases in various plant species.
- **Image Analysis:** Supports high-resolution images to ensure precise detection and diagnosis.
- **Real-Time Results:** Provides instant feedback and alerts about plant health.
### 🛠️ **Tips and Recommendations**
- **Expert Tips:** Delivers tailored care tips based on the detected disease to help you effectively manage plant health.
- **Preventive Measures:** Offers recommendations on preventing future occurrences of plant diseases.
### 🚀 **User-Friendly Interface**
- **Intuitive Design:** Easy-to-navigate interface for seamless user experience.
- **Mobile Compatibility:** Optimized for use on mobile devices, ensuring accessibility anywhere.
## 🚀 Roadmap
### Q4 2024
- **Expand Plant Database:** Include a wider variety of plants and diseases to enhance detection accuracy.
- **Localization:** Add support for multiple languages to cater to a global audience.
### Q1 2025
- **Integration with IoT Devices:** Allow integration with smart sensors for real-time monitoring and alerts.
- **Enhanced AI Models:** Implement deep learning techniques to improve disease detection capabilities.
### Q2 2025
- **Community Features:** Introduce user forums and discussion boards for sharing tips and experiences.
- **Mobile App Launch:** Develop and release a dedicated mobile app for both iOS and Android platforms.
### Q3 2025
- **Advanced Analytics:** Incorporate analytics to track plant health trends and provide historical insights.
- **Personalized Recommendations:** Offer personalized care plans based on user preferences and plant history.
## 🔧 Installation
1. **Clone the repository:**
```bash
git clone https://github.com/ProtectorGamer/agro-ai.git
```
2. **Navigate to the project directory:**
```bash
cd agro-ai
```
3. **Install dependencies:**
```bash
pip install -r requirements.txt
```
## 🌐 Usage
1. **Start the application:**
```bash
Run it using PHP LIVE SERVER extension
```
2. **Upload a plant image:**
- Upload an image of the plant you want to analyze.
3. **Receive diagnosis and tips:**
- View the detected disease and recommended care tips.
## 🤝 Contributing
We welcome contributions from the community! If you have suggestions, bug reports, or would like to contribute to the project, please follow these steps:
1. **Fork the repository**
2. **Create a new branch for your feature or bug fix**
3. **Submit a pull request**
## 📜 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.