
Online Aid For Detecting Brain Tumor And Tuberculosis Using Deep Learning
With the uploaded photos of the patient's x-ray, a web application with a trained CNN model identifies the presence of a brain tumor or TB.
With the uploaded photos of the patient's x-ray, a web application with a trained CNN model identifies the presence of a brain tumor or TB.
Dataset containing images of masked and unmasked people or all races/religion is used to train the model and is able to recognise and detect if a person is wearing a mask in real time using webcam.
With a dataset obtained from Kaggle, a model was trained for the prediction of hear attack by analysing the input features of a patient.
A basic restaurant tip calculator, that calculates the tip based on the desired percentage and displays the new bill with tip added. It is also capable of taking screenshot using the screenshot button, that saves it as a pdf file.
Using Passive Aggressive Classifier from scikit learn, a model is trained to detect the fake and real news from the given training dataset and prediction are made on the test dataset.
I used numpy in python to analyze amazon data to see how much money I spent on the e-commerce website. (All figures are in rupees.)