⚕️GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot. 🏥 Designed for healthcare professionals, researchers and patients.

Vision Foundation Models for Medical AI, including RETFound, DINOv2, DINOv3

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

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.

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.

A Vision Foundation Model for Cine Cardiac Magnetic Resonance Imaging

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%.

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.

Plant Disease Detection model built with Keras and FastAPI

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.

CNN-based malaria detection from blood cell microscope images — 95.43% test accuracy on NIH dataset (27,558 images)

[WACV 2024] Official PyTorch implementation of Brainomaly

The platform for verified medical speakers and their recommendations.

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

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.

The platform for verified medical speakers and their recommendations.

Skin Cancer Detection project is a web application developed to detect skin cancer utilizing deep learning techniques.

Python package to detect AKI within time series data.

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

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

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.

Analysis of the Symptoms-Disease Network database using communities.

AI for Medicine Course by DeepLearning.ai

This project uses a hybrid YOLOv8-based SUNet model for real-time detection of coffee leaf diseases. It accurately classifies diseases like Brown Eye, Leaf Rust, Leaf Miner, and Red Spider Mite, improving early intervention and reducing crop losses.

Plant disease detection on PlantVillage dataset using EfficientNetV2-B0

A Deep Learning project using Transfer Learning (EfficientNet) and Data Augmentation to classify three major rice leaf diseases (Bacterial Blight, Brown Spot, Leaf Smut). Provides a robust, high-accuracy model for early disease detection in precision agriculture.