Cardiovascular Disease Detection in ASP.NET Core Using ML.NET

Plant Disease Detection using MATLAB

I developed and trained a convolutional neural network (CNN) to recognize diseases in sugarcane by analyzing images of the leaves.

The most common thyroid disorder is hypothyroidism. Hypo- means deficient or under(active), so hypothyroidism is a condition in which the thyroid gland is underperforming or producing too little thyroid hormone.. Recognizing the symptoms of hypothyroidism is extremely important.

Skin lesion detection app, based on CNN model trained on MSLD v2.0 dataset for detecting: Monkeypox, Chickenpox, Cowpox, HFMD, Measles and healthy.

Telegram bot that helps to identify and treat diseases in wheat crops.

Plant disease detection bot

Plant Disease Detection using Convolutional Neural Network

API & other training files for SwasthAI android application

Basic works on performing disease detection

Machine Learning based Disease Detection

MULTIPLE DISEASE DETECTION SYSTEM USING MACHINE LEARNING to detect the presence of Health Issues of an individual.

Detecting eye diseases using AlexNet architecture

This project aims to detect diseases in plants using a dataset sourced from Kaggle. The dataset comprises images of plants affected by various diseases, and the goal is to develop a robust machine learning model for accurate disease identification.

Cataract Diagnosis using AI and Neural Network

Data and script for a potato metagenomic analysis

Multiclass classification model using a custom convolutional neural network for accurately detecting melanoma.