Machine Learning and Feature Ranking for Impact Fall Detection Event Using Multisensor Data - IEEE MMSP 2023

uBER for AMbulance

DoseWatch is a web application designed to help parents in India track their child's immunization schedule based on the official National Immunization Schedule (NIS).

PLP-Pipeline is a patient-level prediction pipeline using Julia and DrWatson. It predicts diabetes onset in hypertension patients by analyzing healthcare data with OMOP CDM. The pipeline includes cohort definition, feature extraction, preprocessing, and model training using L1 Logistic Regression, Random Forest, and XGBoost.

Portfolio of data science projects I completed for academic and self learning purposes

A Open Source Package to use different AI based tools

React-based healthcare consent & medical records frontend platform integrating REST APIs and MetaMask/Web3 for secure patient consent signing, blockchain transactions, and platform analytics.

"Revolutionizing healthcare for gender minorities, one inclusive provider at a time."

A web app that encourage user to stay healthy, by assigning "quest"!

Liver Disease prediction using binary classification such as SVM, ANN, or Random Forest. Generate missing data using the MICE algorithm. Use SMOTE to oversample minority class to reduce biases towards majority class. ROC analysis and k-fold Cross-validation Hypothesis tests were done. Data Source: UCI Machine Learning Repository

Multiple Disease Prediction System (MDPS) or Health-Prediction-app The Multiple Disease Prediction System (MDPS) is a machine learning-based web application built with Streamlit.

Create a Web Application for HealthoTech Club for VIT'B

All details of my website for which I am using the mediumish jekyll theme

🧠 Binary classification of Parkinson’s Disease using wearable sensor data and clinical symptoms. Built with Python, SHAP, and tree-based models on the PADS dataset.

Predict 42 common diseases based on any 5 prominent symptoms among the 132 common symptoms given in the dataset. Get to know if you are affected with Malaria using your red blood cell image, among two classes: Infected and Uninfected. Classify the brain MRI reports into 4 classes: Glioma, Meningioma, Pituitary and No-Tumour. Later Segment the br…

Lightweight, privacy-first DICOM viewer — browser or desktop. No OsiriX. Python + pydicom. Zoom, pan, grayscale, contrast, download. For patient copies (US, CT, MR, X-ray).

Machine Learning in Genomics and Healthcare (COMP 565) Project

MindCare is a comprehensive, AI-driven mental health support platform designed to provide 24/7 personalized crisis intervention and wellness resources. Its mission is to make mental health support instantly accessible, empathetic, and inclusive for all.

HealthyU: A prototype e-commerce website for a health and gym supplement store, built for our first Project Exhibition. Users can browse products and assemble their own supplement stacks.

A simple, browser-based patient registration prototype that demonstrates how patients can securely submit their basic details through a digital form. Built as a concept to explore digital health workflows. This is not a production-ready system and should not be used for handling real patient data.