SmartAGRI

This is the Project Repository of the Team - SmartAGRI

Our problem statement is - Alternate Crop Recommendation

The team members are: -

1. Nishanth S Shastry
2. Partheesh Ranjan Singh
3. Chethan M
4. S Monish

Overview

The application will help the farmers to improve their profit and yield by understanding the yields of different crops in different areas.

Technologies used: -

• Python (many python libraries)
• HTML, CSS, JavaScript
• Django(Web framework)
• Google translate API
• Dialogflow (Chatbot)
• Oracle Cloud Platform

ML Algorithms

• K Nearest Neighbor
• Multi Linear Regression
• The ML Algorithm used is the K-nearest neighbor because it is a classification algorithm, helps us to suggest the type of crop with more yield, with more accuracy than other classification algorithms.

Unique Features

1. Simple Login System
2. Multilingual Application
3. Chatbot
4. Responsive Web Application

NOTE: -

1. Please follow the instructions in configurations.txt file for smooth configuration of the project.

2. Please check the misc directory for the ML implementation.

3. Please watch out for Readme.md files in the folder, 'docs', 'source code', and 'misc'.

A view of the web Application