kichloo / frontend

FRONTEND FOR CROP ANALYZER APP 🍂

INTRODUCTION

This is a crop advisory app for farmers and gardeners. It can diagnose pest damage, plant disease and nutrient deficiencies that are affecting crops and can offer corresponding treatment measures.

WORKING

This application takes an image of the leaf or crop as input and shows the results. It diagnoses the plant disease, pest damage, nutrient deficiencies and other factors affecting the growth of the crop and offers corresponding treatment measures to cure it. The result will be mainly presented in three categories, which are symptoms, treatments, and recommended products.

Tech stack used

• Front end : HTML, CSS, Bootstrap, jQuery
  Front end Repository

• Back end : NodeJS and Express
  Backend Repository

• Data base : PlantVillage Dataset

• Data model : Tensorflow-Keras, Flask
  Data-Modelling Repository

The model is trained on the PlantVillage dataset using transfer learning from a pre-trained model from tensorflow-keras library.

Important Notice

Crop Ai has been selected at GirlScript Summer of Code 2020!!!

Only GSSoC participants are allowed to contribute to this repository.

🍀 How to start contributing

1. Fork this repository.

2. Clone the forked repository.

git clone https://github.com/<your-github-username>/CropAi/Frontend.git

3. Navigate to the project directory.

cd Frontend

4. Create a new branch.

git checkout -b <your_branch_name>

5. Make changes in source code.

6. Commit your changes.

  git add .
  git commit -m "<your_commit_message>"

7. Push your local branch to the remote repository.

git push -u origin <your_branch_name>

8. Create a Pull Request!

Congratulations! 💥 You have made your first contribution

Project Admin

• Sahil Sulekhiya

Mentors

• Gunesh Shanbhag
• Rajat Sharma
• Tanishq Saluja
• Vaibhav Bagga