My Projects

• Disease Predictor

  The app aims to predict diseases based on given symptoms and provide information about the condition. The app uses FastAPI interface and employs a Gradient Boosting Classifier to classify the diseases. The model is trained on a large dataset from Kaggle and makes predictions based on the input given by the user in the form of symptoms.

• Handwritten Digit Recognizer

  The app aims to recognize handwritten digits drawn on a canvas input. It uses a deep learning model trained on the MNIST dataset to recognize handwritten digits. The user can draw the digits on the canvas, and the app provides a prediction based on the trained model.

• Housing Price Predictor

  The app aims to predict the price of houses based on given inputs. It uses a linear regression model trained on the Pune house data from Kaggle and is built using the Flask framework. The user inputs various features of a house and the app provides a prediction of the house price based on the trained model.