Doctor Dok is an AI based medical data framework and patient's med vault. Parse any health related PDF/Image to JSON and then use Chat GPT / LLama to discuss it! WARNING: Don't decide on your health based on AI Chat - it's just for Research purposes.

🛠 Prototype for the GDSC Solution Challenge 2025. Problem Statement: "Lack of Access to Healthcare in Underserved Communities". Donor Sync – A comprehensive web-based platform that connects blood donors directly with hospitals, and hospitals with patients, and even NGOs ensuring quick and efficient blood donation. 🩸

MedTime is a web/mobile app that helps people with short-term memory set reminders to take their medicine or apply some treatments to a wound.

Medicano: A versatile medical application aimed at delivering comprehensive information about medications. It provides users with detailed insights into drug uses, pricing, alternatives, and availability. Key features include a powerful search function, personalized recommendations, a symptom checker, and integration with health articles and news.

Ayurvedic health platform for exploring remedies, medicines, and nearby hospitals—with user login and appointment booking (in progress).

Revolutionize your health with DoruqHealthSystem: AI-driven insights at your fingertips for smarter, proactive wellness management.

A personalized diet plan recommendation system is proposed that uses a knowledge base and rules to infer a user's dietary requirements and suggest an appropriate meal plan. This is web application created by using React Node js Python and Prolog

Smart posture monitoring system using ESP32, MPU6050, and Flex Sensor with real-time alerts.

A smart IoT heart‐rate and SpO₂ monitoring system built on ESP8266 + MAX30100 with live Blynk dashboard and Python ML modules for anomaly detection.(Built in 2022-23)

Using python to create an application to track nutritional data in a daily basis. Making the world a better place to live. Good using technology.

Building AI tools (JudgeGPT, RogueGPT) and health tech like Mindful Coffee, an iOS app for cortisol rhythm modeling. Passionate about AI ethics, chronobiology, and real-world impact.

A fitness tracking app where users can create profiles, log workouts, monitor BMI progress, set personal goals, and participate in challenges — all with an engaging and user-friendly dashboard. Note: Messaging and buddy connection features are planned but not implemented yet.

💪 Solutech is a web app built with Next.js and JavaScript that automates health calculations like BMI, body fat percentage, and BMR. It helps users track progress, prevent diseases, and maintain healthy habits.

Cross-platform mobile app that detects facial skin type and conditions using AI. Recommends skincare products based on skin profile and allergies. React Native frontend, Flask backend, MongoDB database, OpenCV face detection, and CNN-based diagnosis. Includes lifestyle and product suggestions.

Digitizing pharmacy workflows for Arabic-speaking communities. Bilingual Android app with chat, maps, and reminders.

This script implements a bioinformatics pipeline for analyzing genetic variants and their association with disease risk. It combines population genetics principles with machine learning to identify disease-associated variants.

Learn how to build a real-time ECG monitoring dashboard using Syncfusion WPF Charts. Explore the features of Syncfusion charts to create interactive and real-time data visualization for ECG monitoring.

AI-powered disease prediction system with ML/DL models and integrated health chatbot.

Kidney Disease Classifier is a web application that utilizes a fine-tuned VGG16 model to analyze CT scan images and predict tumor presence with 89% accuracy. It features an intuitive interface for image uploads and instant results. Built with Flask, TensorFlow, and MLflow, it showcases deep learning principles in health tech.

A RESTful API using Flask and XGBoost to predict diabetes in Pima Indians based on various diagnostic measurements. Includes training, saving the best model, and testing the API using Python requests.