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.

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).

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'

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.

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.

AI-powered malaria detection system for hospitals with patient management, PDF report generation, and real-time analytics. Built with React, Supabase & FastAPI.

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.

A deep learning framework for automated diagnosis of Diabetic Retinopathy, AMD, and Glaucoma using a Hybrid Attention-CNN model. Combines ResNet50 with self-attention for enhanced accuracy and interpretability. Includes Python implementation, preprocessing pipeline, training scripts, and case study documentation.

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.

💻🔒 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.