Hello, We're Team ClueLess Coders from National Institute of Technology Sikkim.
The Project that we've worked on is titled AI-Driven Crop Disease Prediction and Management System.
This repository houses a comprehensive AI-driven system designed to
accurately predict crop diseases and provide effective management
strategies. Leveraging advanced machine learning algorithms, this
system offers farmers a valuable tool to mitigate crop losses and
enhance agricultural productivity.
Disease Prediction: Utilizes deep learning models to analyze visual data
(e.g., images of plant leaves) and accurately identify various crop diseases.
Provides tailored recommendations based on predicted diseases, including
appropriate treatments, preventive measures, and optimal timing
for intervention.
Offers valuable insights into disease trends, helping farmers make informed
decisions and optimize their agricultural practices.
Deep Learning Framework: TensorFlow
Image Processing: OpenCV
Data Management: SQL or NoSQL databases
Web Application: Jupyter Notebook