ML based Smart Crop Recommendation System with Disease Identification, utilizing CNNs. It aids farmers in selecting crops, managing diseases, and boosts productivity by integrating weather and geolocation APIs.

KisanSahayak is a smart agriculture web application aimed at providing Indian farmers with data-driven insights using advanced machine learning, rainfall analysis, crop recommendations, and disease prediction. 🌱

This API leverages the power of environmental data—such as air temperature, humidity, and dew point—to predict the likelihood of diseases like Tarspot and Gray Leaf Spot and Spore on crops.

Heart Disease prediction using 5 algorithms

CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks

Healthcare App for data management along with disease predictor

An interpretable end-to-end CNN for disease progression modeling that predicts late AMD onset (MICCAI 2024)

A knowledge graph system with graph neural network for drug repurposing and disease mechanism.

This repository houses machine learning models and pipelines for predicting various diseases, coupled with an integration with a Large Language Model for Diet and Food Recommendation. Each disease prediction task has its dedicated directory structure to maintain organization and modularity.

This repos contains my all the basic to some advance Python Projects which i have created for the beginners so that they can learn the whole development processs by just implementing the projects

A Disease Prediction Model Using Machine Learning

In this Repository I will upload source code of Machine Learning Projects That I will complete During my Code Alpha Internship.

PrognosisHub is a multiple disease predictor.

This project implements a convolutional neural network (CNN) for detecting rice leaf diseases. Users can upload images, and the model provides real-time predictions of the disease class along with raw prediction scores. Built using TensorFlow and Streamlit, it aims to assist farmers and agricultural specialists in managing plant health.

Healthcare assistant able to detect : Heart Disease, Parkinson's disease, Diabetes

Enhancing Visual Learning for Limited Data in Disease Diagnosis: Leveraging the power of vision transformers to learn useful features and using them with a custom classifier

An ML model which detects a person's disease based on their input data

Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

Prediction of disease based on symptoms using machine learning