From 949c723a63b120d74e6f92727286276d6be7262b Mon Sep 17 00:00:00 2001 From: Aditya Bharti Date: Sun, 14 Apr 2024 17:51:57 +0530 Subject: [PATCH 1/2] #1 --- README.md | 63 +++++++++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 61 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 2ab0f1c..8411291 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,62 @@ -# crop-prediction +# Crop Prediction Website -a crop prediction model & website +Welcome to the Crop Prediction Website project! This web application aims to provide users with predictions on crop yields based on various factors such as weather patterns, soil quality, historical data, and agricultural practices. + +## Getting Started + +These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system. + +### Prerequisites + +- Python 3.x +- Flask +- Pandas +- Scikit-learn +- HTML/CSS/JavaScript knowledge for front-end modifications + +### Installing + +1. Clone the repository to your local machine: + + + git clone https://github.com/your-username/crop-prediction.git + + +2. Install the required Python packages: + + + pip install -r requirements.txt + + +3. Run the Flask application: + + + python app.py + + +4. Open your web browser and go to [http://localhost:5000](http://localhost:5000) to view the website. + +## Usage + +- Upon accessing the website, users will be prompted to input relevant data such as location, soil type, weather conditions, and crop type. +- The prediction model will process the input data and generate a forecast for the expected crop yield. +- Users can view the predicted yield and any additional insights provided by the system. + +## Deployment + +To deploy this project on a live system, you will need to: + +- Obtain a domain name and hosting service. +- Configure your server environment to support Python and Flask applications. +- Set up a database system to store user inputs and prediction results (if necessary). +- Ensure proper security measures are in place to protect user data and the application itself. + +## Built With + +- [Flask](https://flask.palletsprojects.com/en/2.1.x/) - Web framework for Python +- [Pandas](https://pandas.pydata.org/) - Data manipulation and analysis library +- [Scikit-learn](https://scikit-learn.org/) - Machine learning library for Python + +## Authors + +- [Vibhav Sharma](https://github.com/Vibhav-Sharma) - Initial work From bcc27057c82c0b6819c44b4ea6f0a4ab0caab93d Mon Sep 17 00:00:00 2001 From: Aditya Bharti Date: Sun, 14 Apr 2024 18:36:53 +0530 Subject: [PATCH 2/2] #6 --- green/templates/aboutus.html | 1 + green/templates/contactus.html | 1 + 2 files changed, 2 insertions(+) create mode 100644 green/templates/aboutus.html create mode 100644 green/templates/contactus.html diff --git a/green/templates/aboutus.html b/green/templates/aboutus.html new file mode 100644 index 0000000..effc9d3 --- /dev/null +++ b/green/templates/aboutus.html @@ -0,0 +1 @@ + About Us

About Us

Our Mission

Our mission is to provide farmers with the best possible crop recommendations based on their soil, climate, and other relevant factors. We believe that by using data and technology, we can help farmers make more informed decisions and improve their crop yields.

Our Team

Our team is composed of experts in agriculture, data science, and technology. We are passionate about using our skills to make a positive impact on the farming community.

Our Team

Contact Us

Our Location

123 Main St.

Anytown, USA

Phone:984376xxxx \ No newline at end of file