Automatic detection of plant diseases

AI powered plant disease detection and assistance platform currently available as an App and API.

RETFound - A foundation model for retinal image

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.

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.

Web App for Plant Disease Detection using Tensorflow and streamlit

An efficient disease detection application with GUI based (tkinter) frontend and a custom CNN model as backend which detects if a cell is parasitized or normal from its image in real time with an accuracy of 95.22%.

Plant Disease Detection model built with Keras and FastAPI

A Smart-Farming solution for farmers to ease the process of farming with the help of IOT and ML . It provides the farmers a way to monitor their farms with IOT smart solutions and early plants disease detection through ML.

The platform for verified medical speakers and their recommendations.

[WACV 2024] Official PyTorch implementation of Brainomaly

The platform for verified medical speakers and their recommendations.

Quick and Accessible Health Assistance - Fully Functional Machine Learning based Web Application with Dashboard for Medical Diagnosis Reports, maternal chatbot and Government Verified Certification via Email Listings.

Series of image recognition algorithms that can diagnose diseases by analysing a picture of the iris of the person

AYUCARE is a web application that provides a solution to detect diseases from symptoms and recommend Ayurvedic medicine using two machine learning models that are based on decision tree algorithms.

AI for Medicine Course by DeepLearning.ai

Analysis of the Symptoms-Disease Network database using communities.

BSc Project in Amirkabir University of Technology(Tehran Polytechnique), Prototyping a Healthcare System using microservices architecture include four services: 1.Auth 2. Disease Detection 3. Expertise Diagnosis 4. Search Physician

Hepatitis Disease Detection Using SVM,KNN,ANN Algorithms implemented in MatLab.