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VOOZH | about |
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
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.
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.
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.
💻🔒 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.
💻🔒 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 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.
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