Machine Learning Intern at AIMERS with expertise in developing predictive models using Python, TensorFlow, and Keras. Enhanced model performance through innovative solutions and data-driven strategies. Proficient in data analytics and visualization, contributing to successful AI-driven projects.
Brain tumor detection using CNN, Brain tumor detection project analysis the MRI scan of the brain, and detect if there is any tumor in the brain using the convolution neural network., 10/01/24, 11/30/24
Heart disease prediction system, Heart disease prediction system is a machine learning project, that is used to predict for the heart disease of a user based on the values like (bp, restbp, cholesterol, heart rate and 10 more parameters) and with accuracy of 87%., 02/01/24, 03/31/24
Plant leaf disease prediction, Plant leaf disease prediction system, predicts if there is any plant affected with any leaf disease or the plant is normal., 09/01/23, 11/30/23
Credit card fraud detection, this project is able to classify the fraud and legitimate transactions of the credit card payment, and it is trained on a huge dataset for this project with an accuracy of 96.7%