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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.
A comprehensive web-based platform that connects blood donors directly with hospitals, ensuring quick and efficient blood donation. Submission Video: https://www.youtube.com/watch?v=CgGBcgqauk4
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.
💪 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.
Convert all your Blood Tests, MRI Scans, TK Scans, After Visit reports, Hospital Admission Reports to JSON, safely store in the cloud and discuss, annotate, translate it with AI.
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
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)
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.
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.
Sanruum HealthAI is an AI-driven Python project focused on diabetes management and healthcare, offering real-time health monitoring, predictive alerts, and personalized insights. It aims to empower users with early intervention and proactive care.
VibeOut: An emotion-aware fitness platform that combines ESP32-based heart rate & SpO2 monitoring with AI emotion detection to deliver personalized workouts that adapt to both physical metrics and emotional state, creating a more effective and sustainable fitness experience.
Obese-tree is a GitHub repository showcasing the application of a Support Vector Machine (SVM) model to estimate obesity levels based on eating habits and physical condition. Explore the code, data, and Jupyter notebooks to learn how SVM can be used for predictive modeling in the context of health and wellness.
Early Detection of Diabetic Kidney Disease using Contrast Enhanced Ultrasound Perfusion Parameters. Explore perfusion models (Lagged Normal, Log-Normal, Gamma Variate), compare their effectiveness, and analyze their application to diabetic and control cases.