disease-detection
There are 7 repositories under disease-detection topic.
johri-lab / Automatic-leaf-infection-identifier
Automatic detection of plant diseases
Language:Python 272nandakishormpai / Plant_Disease_Detector
AI powered plant disease detection and assistance platform currently available as an App and API.
Language:Dart 122openmedlab / RETFound_MAE
RETFound - A foundation model for retinal image
Language:Jupyter Notebook 82- COVID-CXNet
armiro / COVID-CXNet
COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807
Language:Jupyter Notebook 66 KalyanM45 / OpenHealth
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.
Language:Jupyter Notebook 52RiturajSaha / Health-Discernment-System
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.
AmeyaUpalanchi / streamlit-tensorflow-ml-app
Web App for Plant Disease Detection using Tensorflow and streamlit
Language:Python 28An 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%.
Language:Jupyter Notebook 24- Plant-Disease-Detection-Keras
Nneji123 / Plant-Disease-Detection-Keras
Plant Disease Detection model built with Keras and FastAPI
Language:Jupyter Notebook 16 anotherwebguy / AarogyaSheti
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.
ita-social-projects / dokazovi-be
The platform for verified medical speakers and their recommendations.
Language:Java 12mahfuzmohammad / Brainomaly
[WACV 2024] Official PyTorch implementation of Brainomaly
Language:Python 12The platform for verified medical speakers and their recommendations.
Language:TypeScript 11MLXTREME / Doctor-In-A-Browser
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.
Language:Jupyter Notebook 11AbdullahShiraz / AYUCARE
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.
Language:Jupyter Notebook 10monchiestevez / Iris
Series of image recognition algorithms that can diagnose diseases by analysing a picture of the iris of the person
Language:Python 10dennishnf / project-symptoms-disease-network
Analysis of the Symptoms-Disease Network database using communities.
Language:Jupyter Notebook 9igkishore / Hepatitis_disease_detection
Hepatitis Disease Detection Using SVM,KNN,ANN Algorithms implemented in MatLab.
Language:MATLAB 9karantolani / skin-cancer-detection
Skin Cancer Detection project is a web application developed to detect skin cancer utilizing deep learning techniques.
Language:JavaScript 8MarwaEshra / AI-for-Medicine-by-DeepLearning.ai
AI for Medicine Course by DeepLearning.ai
Language:Jupyter Notebook 8pouyanhessabi / B.Sc-Project-Healthcare-Microservice
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
Language:Python 8VISEF-ISEF-team / VasculAR
VasculAR - Integration of Deep Learning into automatic volumetric cardiovascular dissection and reconstruction in simulated 3D space for medical practice
Language:Python 8- plddsLanguage:CSS 7
Kartik-Katkar / Plant-Disease-Identifier
The Plant Leaf Disease Detection repository is a comprehensive project built using Django and Flask frameworks, aimed at assisting in the identification and diagnosis of diseases affecting plant leaves.
Language:HTML 6- Language:Python 5
mohansaidinesh / Automated-Farming
Smart Irrigation System
Language:Jupyter Notebook 5vidhikhatwani / Detecting-the-extent-of-Hypertension-through-Voice
Feature extraction and analysis on audio clips taken from various online source like Netflix to detect the extent of hypertension in a person.
Language:Jupyter Notebook 51AyaNabil1 / Healthcare-Machine-Learning
Explore our open-source repository focused on healthcare machine learning. We've developed predictive models for cardiovascular disease, diabetes, breast cancer, and more. Our projects employ diverse machine learning algorithms and data science techniques, enhancing early detection, diagnosis, and patient outcomes.
Language:Jupyter Notebook 4AabidPatel / Leaf-Disease-Detection-and-Health-Grading-System-using-MATLAB
This project identifies a disease caused by a particular micro-organism that is infested on the leaf of a plant and also shows the estimated health severity of the leaf based on how much of a leaf is infected.
Language:MATLAB 4- dpm-ml
neeraj-395 / dpm-ml
A Disease Prediction Model Using Machine Learning
Language:Python 4 old-school-kid / never-gonna-leaf-you
An app to detect and classify plant disease
Language:PureBasic 4OmidGhadami95 / EfficientNetV2B0---PlantVillage
Plant disease detection on PlantVillage dataset using EfficientNetV2-B0
Language:Jupyter Notebook 4omkar6141 / Acute_Lymphoblastic_Disease_Detection
Blood cancer is an uprising issue and doing physical medical procedures is too sensitive and time-consuming to detect any blast cell. Manual testing includes blood tests, spinal fluid tests, bone marrow tests, imaging tests, etc. A solution to this is to use modern methods in health care that help to detect diseases faster and increase the cure rate. This can be done using numerous machine learning and image processing techniques.
Language:Jupyter Notebook 4sudiptob2 / agrgb-front
React front end of Image classification app AgRGB for detecting leaf disease in plant Leafs.
Language:JavaScript 4Aish7930 / plant-disease-detection
This innovative mobile application utilizes Flutter for the front-end interface and Flask for the back-end API. Our app employs advanced image processing techniques to detect and diagnose plant diseases accurately.
Language:Python 3soorajpazeekal / plant-disease-detection-with-cnn-and-whatsapp
Image Based Disease Detection for banana leaf with WhatsApp integration using CNN and keras-TensorFlow backend!
Language:Python 3
