Crop Recommedation System using ML

[kanchanraiii]

Have you read the Contributing Guidelines ?

Yes

Description

This application assists farmers in selecting the optimal crop to cultivate, considering soil composition and environmental conditions. By providing information such as nitrogen, phosphorus, and potassium levels, as well as temperature, humidity, pH, and rainfall, users receive tailored recommendations for the most suitable crop out of a selection of 22 options. This is a supervised multi-class classification problem. The recommendation is made using a Random Forest model trained on agricultural data. This model considers various factors to predict the best crop for your field. The model has been developed by analyzing many models like SVM, Random Forest, Decision Tree, Logistic Regression, Gaussian Naive Bayes. Random Forest has been selected based on the Cross Validation Accuracy & Test Accuracy.

Deployed with Streamlit

Fixes #1034

Checklist

• I've read the contribution guidelines.
• I've checked the issue list before deciding what to submit.
• I've edited the README.md and link to my code.

Related Issues or Pull Requests

[kanchanraiii]

please consider this under GSSOC'24

[Kushal997-das]

@kanchanrai7 A few things need to be changed:

1. Add the project under the intermediate section.
2. Make the readme.md file a bit more attractive.
3. Fetch the origin again and add your project under the intermediate section in the main readme.md file.