A binary classification model for pneumonia detection from chest X-rays using transfer learning with DenseNet121, achieving high training accuracy (~95%) and demonstrating applicability of AI in medical diagnostics.
NeuroDetect AI is a deep-learning based system that detects brain tumors and Alzheimer’s disease from MRI scans using optimized CNN and transfer-learning models. It provides fast and reliable predictions through a simple web interface with a Flask backend, offering an effective AI solution for early neurological diagnosis.
This project utilizes machine learning algorithms to predict the likelihood of a patient having a specific disease based on their medical history, symptoms, and test results. Disease Prediction Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
This project aims to develop a machine learning-based system for predicting diseases based on patient symptoms and medical history. Disease Prediction System With Code, Documents, PPT and Report
A predictive analytics project leveraging machine learning algorithms to forecast the likelihood of heart disease in patients. Heart Disease Prediction Using Machine Learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
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