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.

AI Toolkit for Healthcare Imaging in Keras 3

Project COLON-X (Shaping the neXt frontier in intelligent COLONoscopy)

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

Code for IJCV-From Small to Large: In-Context Learning as a New Paradigm for Domain Generalization

🌐 A full-stack telehealth platform enabling virtual consultations, real-time symptom prediction via AI, and chatbot-assisted triage — built with React, Node.js, and Python.

مرشد الأدوية النفسية — AI Psychiatric Medication Counselor for Gemini & ChatGPT

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

video capsule endoscopy abnormality classification for capsule vision 2024 challenge

Real-ESRGAN model deployed on Android using NCNN (C++/JNI) and ExecuTorch (Java) for real-time image super-resolution in dermatology, with reproducible benchmarking (PSNR, SSIM, MSE, LPIPS).

💻🔒 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.

Health Information Website with Chatbot Source Code

This project uses OCR and machine learning to extract CBC values from reports and predict urgency levels. As of now, it supports image/pdf inputs, manual corrections, and SHAP explainability. Ideal for medical AI, healthcare OCR, and automated lab report analysis.

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

AI-powered Clinical EMR platform for Indian healthcare. Features real-time voice-to-text transcription, clinical NLP extraction, live drug safety checks, and offline-first capabilities.

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

💻🔒 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.

Reproducible deep learning pipeline for multi-label thoracic disease detection using the NIH ChestX-ray14 dataset. Evaluates ResNet and DenseNet CNN architectures with patient-level splits, clinical performance metrics (ROC-AUC, sensitivity, specificity), and Grad-CAM visualizations for interpretable localization of radiographic pathology features.

AI-powered pharmacogenomic risk prediction system. Analyzes patient VCF files across 6 genes (CYP2D6, CYP2C19, CYP2C9, SLCO1B1, TPMT, DPYD) to predict drug-specific risks with CPIC-aligned recommendations and Gemini AI explanations.

Revolutionary agentic AI-powered cognitive assessment that uses multiple collaborating AI agents to detect patterns invisible to traditional scoring — delivering up to 3× better sensitivity for early detection of cognitive changes.