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.

The project uses natural language processing and information retrieval to create an interactive system for user queries on a collection of PDFs. It involves loading, segmenting, and embedding PDFs with a Hugging Face model, utilizing Pinecone for efficient similarity searches

video capsule endoscopy abnormality classification for capsule vision 2024 challenge

Official PyTorch Implementation of paper 'Edge-Based Graph Neural Networks for Cell-Graph Modeling and Prediction'

A TSX-based wellness and cycle care tracking app with mood journal, symptom tracker, and AI assistant.

Binary classification of breast cancer using PyTorch. Used StandardScaler, LabelEncoder, Dataset, DataLoader, custom nn.Module model, BCELoss, and SGD. Focused on implementing a complete training pipeline, not optimizing accuracy.

💻🔒 A local-first full-stack app to analyze medical PDFs with an AI model (Apollo2-2B), ensuring privacy & patient-friendly insights — no external APIs or cloud involved.

ChannelMAE is a combination of MAE and ChannelViT

Detection of presence or absence of pneumonia in chest x-ray images using a CNN deep learning architecture

Health Information Website with Chatbot Source Code

AI Toolkit for Healthcare Imaging in Keras 3

A curated list of tools, frameworks, applications, datasets, and resources for AI in Healthcare.

🏥 DICOM Flask App – AI-Powered Lesion Detection A Flask-based web app for uploading, processing, and analyzing DICOM medical images. Uses DeepLesion (Faster R-CNN) for lesion detection and ResNet50 for classification. Features a multi-tab UI with sidebar navigation. A sample DICOM file is included for testing!

HealthCare Assistant is an AI-powered healthcare companion using Streamlit and Groq, providing symptom analysis, medication guidance, health record management, and wellness recommendations.

🏥 CareBridge: AI 기반 간호간병통합서비스 플랫폼

An AI-powered gamified rehabilitation and wellness platform helping users recover from mental health, addiction, and diet-related challenges through personalized tasks, therapy tracking, and predictive analytics.

AI-Powered Eye Disease Detection Web App An intelligent retina image classification system built using deep learning (VGG16), TensorFlow, and Flask. This open-source project helps detect common eye diseases like Cataract, Diabetic Retinopathy, and Glaucoma, and also identifies uncertain cases as Unknown.

Chiremba AI is an innovative health diagnosis system leveraging NLP for text-based diagnosis, CNNs for image-based disease detection (e.g., skin diseases), and telemedicine for virtual consultations. Designed for underserved communities in Zimbabwe, it provides accessible, affordable, and accurate healthcare solutions.

Hero-V1 is an Android app and website featuring an AI-powered chatbot that identifies illness categories based on symptoms, like cancer. Built with Jupyter Notebook, TensorFlow, Flask, and Android Studio, it streamlines healthcare by providing symptom-based insights.

Analyzes emotions via DeepFace by capturing facial expressions. Includes a therapist chatbot and emotion tracker/analyzer.