The intention of the project is to familiarise the student with open source development in the field of Machine Learning, Deep Learning and Android Development. It will be done by making a real-life application that can be used by the consumers. Our aim is to make an end to end 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.
- Tensorflow-Keras
- Java
- NodeJS
- HTML
- CSS
- Javascript
- jQuery
- Bootstrap
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Fork this repository.
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Clone the forked repository.
git clone https://github.com/<your-github-username>/CropAi/Frontend
- Navigate to the project directory.
cd CropAi/Frontend
- Add the original repository as a remote called upstream.
git remote add upstream https://github.com/CropAi/Frontend.git
- Create a new branch dev in your forked repository.
git branch dev
- Switch to that branch dev.
git checkout dev
- Pull the code from the upstream dev branch.
git pull upstream dev
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Make changes in that code.
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Commit your changes.
git add .
git commit -m "<your_commit_message>"
- Push your local branch to the remote repository.
git push -u origin dev
- Create a Pull Request!
Congratulations! You have just made your contribution to CropAi project.