API & other training files for SwasthAI android application
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Updated
Jun 2, 2024 - Jupyter Notebook
API & other training files for SwasthAI android application
This project is build during HACK4TKM hackathon held at TKM College of Engineering on February 2024
Python package to detect AKI within time series data.
VasculAR - Integration of Deep Learning into automatic volumetric cardiovascular dissection and reconstruction in simulated 3D space for medical practice
Skin Cancer Detection project is a web application developed to detect skin cancer utilizing deep learning techniques.
Skin lesion detection app, based on CNN model trained on MSLD v2.0 dataset for detecting: Monkeypox, Chickenpox, Cowpox, HFMD, Measles and healthy.
plant resistance gene analyzer for getting the dna and protein sequences.
COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807
Plant Disease Detection using MATLAB
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.
Cataract Diagnosis using AI and Neural Network
Plant disease detection on PlantVillage dataset using EfficientNetV2-B0
Investigating the efficacy of diagnostic kits used for parasitic disease surveillance in the Philippines.
By leveraging Bayesian filtering, the aim is to refine the diagnostic process, providing healthcare professionals with a powerful tool that enhances both the accuracy and efficiency of disease identification.
Image Based Disease Detection for banana leaf with WhatsApp integration using CNN and keras-TensorFlow backend!
[WACV 2024] Official PyTorch implementation of Brainomaly
This project focuses on early disease detection in plant products using machine learning techniques. By leveraging convolutional neural networks (CNNs) and optimization algorithms like PSO, Random Search, and Grid Search, the project aims to develop accurate models for identifying diseases in crops and fruits.
Diverson2k24 hackathon project - A one-step solution for farmers including supply-chain-management, crop-disease detection, community support and much more.
Diverson2k24 hackathon project - A one-step solution for farmers including supply-chain-management, crop-disease detection, community support and much more.
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