Plant Disease Detection using Convolutional Neural Network

API & other training files for SwasthAI android application

Prior prediction of neurodegenerative disease: Parkinson’s disease, in a person based on different voice-generated components values.

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

Classify genetic mutations based on text literature.

Plant Disease Detection using MATLAB

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

React front end of Image classification app AgRGB for detecting leaf disease in plant Leafs.

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

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.

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

This is a project about detection of Parkinson's disease based on the particular features/traits shown by patients.

A smart disease detection for leaves powered by Neural Networks and MATLAB image processing

Applied deep learning and CNN to detecting and classified lung disease using imagery data. We used the images that belong to 4 categories : healthy, covid-19, viral pneumonia, and bacterial pneunomia. Each categories are consist of 133 images and we used it to develop model that could detect and classify the images in less than 1 minutes.

Smart Irrigation System

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

Diverson2k24 hackathon project - A one-step solution for farmers including supply-chain-management, crop-disease detection, community support and much more.

Thoracic Disease Detection Using CNNs and Weighted Binary Cross Entropy Loss Based on Chest X-Ray Images