AI POWERED DISEASE PREDICTOR USING BLOOD REPORT AND RANDOM FOREST CLASSIFIER

The AI-Powered Disease Predictor Using Blood Report is a machine learning-based web application developed to assist users in interpreting blood test results and predicting potential hematological conditions. Built using Python and the Flask web framework, the system offers a user-friendly interface for inputting standard blood test parameters and delivers real-time disease predictions using a trained Random Forest Classifier. The model is trained on a medical dataset (Training.csv) containing key blood indicators such as White Blood Cell (WBC) count, Red Blood Cell (RBC) count, Hemoglobin, Platelet count, Neutrophils, Lymphocytes, Monocytes, Eosinophils, and Basophils. After preprocessing and training, the classifier can identify patterns associated with common conditions such as Anemia, Leukocytosis, and Thrombocytopenia.