https://github.com/dev-shetty/rudraksh

Rudraksh - Blending Tech with Nature's Essence, Unveiling Plant Health
https://github.com/dev-shetty/rudraksh

api hacktoberfest nextjs plant-disease-detection rudraksh tailwindcss typescript

Last synced: about 1 month ago
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Rudraksh - Blending Tech with Nature's Essence, Unveiling Plant Health

• Host: GitHub
• URL: https://github.com/dev-shetty/rudraksh
• Owner: dev-shetty
• License: mit
• Created: 2023-08-11T15:55:26.000Z (almost 2 years ago)
• Default Branch: master
• Last Pushed: 2024-05-31T05:29:55.000Z (about 1 year ago)
• Last Synced: 2025-05-10T12:55:06.193Z (about 2 months ago)
• Topics: api, hacktoberfest, nextjs, plant-disease-detection, rudraksh, tailwindcss, typescript
• Language: TypeScript
• Homepage: https://rudraksh.vercel.app
• Size: 48.6 MB
• Stars: 18
• Watchers: 1
• Forks: 12
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: Contributing.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        
# Rudraksh: Plant Disease Detection



Rudraksh is a powerful web-based platform that allows farmers to detect plant diseases by simply uploading an image. Using advanced machine learning models and a user-friendly interface, Rudraksh aims to provide timely and accurate disease identification, accompanied by the progression rates of potential diseases.

## Features

- **📸 Image-Based Disease Detection**:   

  Upload an image of your plant and receive instant disease diagnostics.

  

- **📚 Disease Library**:   

  Access a comprehensive guide detailing various plant diseases, their symptoms, and progression rates.

- **🤖 Advanced ML Models**:   

  Utilizing API from cutting-edge machine learning model for accurate and rapid disease identification.

## How To Use

### 1. Visit the Rudraksh platform.  

Start by capturing a clear image of a plant leaf that might be showing signs of disease. Ensure that the image is sharp and well-lit. Easily upload the image to the Rudraksh platform using our user-friendly interface.

### 2. Upload an image of your plant.  

Rudraksh's advanced AI technology kicks into action. The uploaded image is processed by a sophisticated machine learning model to analyze the visual characteristics of the leaf in the image, comparing them to an extensive database.

### 3. Wait for the diagnostic results and read about the disease description.

Rudraksh provides you with comprehensive insights. It not only identifies the specific disease affecting your plant but also offers a detailed description of the plant, the disease itself, and recommends effective remedies.

## Technologies Behind Rudraksh

- ### Disease Prediction:   

  | Name        |    Link                                                    |

  |-------------|--------------------------------------------------------|

  |Python       |[![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)](https://python.org)|

  |TensorFlow   |[![TensorFlow](https://img.shields.io/badge/TensorFlow-%23FF6F00.svg?style=for-the-badge&logo=TensorFlow&logoColor=white)](https://www.tensorflow.org)|  

  |Google Colab |[![GoogleColab](https://img.shields.io/badge/GoogleColab-%23FF6F00.svg?style=for-the-badge&logo=GoogleColab&logoColor=white)](https://colab.research.google.com)|

  |Numpy        |[![NumPy](https://img.shields.io/badge/numpy-%23013243.svg?style=for-the-badge&logo=numpy&logoColor=white)](https://numpy.org)|

  |Flask       |[![Flask](https://img.shields.io/badge/flask-%23000.svg?style=for-the-badge&logo=flask&logoColor=white)](https://flask.palletsprojects.com/en/2.3.x)|

  

- ### Web Development:  

  | Name        |     Link                                                   |

  |-------------|--------------------------------------------------------|

  |Next.js 13       |[![Next JS](https://img.shields.io/badge/Next-black?style=for-the-badge&logo=next.js&logoColor=white)](https://nextjs.org/docs)|

  |TailwindCSS   |[![TailwindCSS](https://img.shields.io/badge/tailwindcss-%2338B2AC.svg?style=for-the-badge&logo=tailwind-css&logoColor=white)](https://tailwindcss.com)|  

  |Typescript |[![TypeScript](https://img.shields.io/badge/typescript-%23007ACC.svg?style=for-the-badge&logo=typescript&logoColor=white)](https://www.typescriptlang.org)|

  |Shadcn UI        ||

  |React Query        |[![React Query](https://img.shields.io/badge/-React%20Query-FF4154?style=for-the-badge&logo=react%20query&logoColor=white)](https://tanstack.com/query/v3/)|

- ### Miscellaneous:   

  | Name        |  Link                                                      |

  |-------------|--------------------------------------------------------|

  |ESLint       |[![ESLint](https://img.shields.io/badge/ESLint-4B3263?style=for-the-badge&logo=eslint&logoColor=white)](https://eslint.org)|

  |Git/GitHub   |[![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white)](https://github.com)|  

  |Vercel |[![Vercel](https://img.shields.io/badge/vercel-%23000000.svg?style=for-the-badge&logo=vercel&logoColor=white)](https://vercel.com)|

  |npm        |[![NPM](https://img.shields.io/badge/NPM-%23CB3837.svg?style=for-the-badge&logo=npm&logoColor=white)](https://www.npmjs.com)|

## Setup Rudraksh Locally

Once you have followed the steps mentioned in [Contribution](https://github.com/Deveesh-Shetty/rudraksh/blob/master/Contributing.md) to fork and clone the repository, do the following to setup rudraksh locally on your PC.

```bash

cd web

```

Install all the dependencies

```bash

npm ci

```

Add the API key to the `.env` folder as mentioned in `.env.example`

Get the Plant Id API key from [here](https://web.plant.id/plant-identification-api/)

```

NEXT_PUBLIC_PLANT_ID_API_KEY = "Your API Key"

```

Run the server locally

```bash

npm run dev

```

That's it you are good to go! Looking forward to your contributions.

## Contributors



  









**Thank you for using Rudraksh!**