Data Cleaning and Analysis in SQL using Billionaire Data Set

The project focuses on performing extensive data-cleaning and analysis on the statistics of the world's billionaires to provide insights into the wealth distribution, business sectors, correlation and demographics of billionaires worldwide. All tasks completed in SQL.

AI Image Malaria Detector

The project explores the malaria dataset from the National Institute of Allergy and Infectious Diseases (NIH), trains a machine learning algorithm on the dataset, and deploys the AI in the hospital to predict malaria-infected patients, significantly enhancing hospital workflow.

Loan Default Prediction App

The project explores the end-to-end development of a Loan default prediction app that helps the bank reduce the risk of loss. The app is based on the Kaggle dataset. Due to the differences between the labels in the Kaggle dataset, a deep learning algorithm (ANN) best captures the defaulters.

Natural Scene Images Prediction AI

The Project explores the intel data on Kaggle. Leveraging advanced machine learning algorithms, it analyzes spatial patterns and features to accurately predict the classification of natural and artificial environments from the train and test images.