OpenAI's Whisper model at its base configuration, designed for speech recognition and transcription, converting spoken language into text with high accuracy.

Making a binary classifier to detect pneumonia using chest X-ray images.

This model leverages a TensorFlow-based deep learning Convolutional Neural Network (CNN) model to classify brain tumors from MRI images. The integration of artificial intelligence (AI) and machine learning (ML) in medical imaging aims to enhance diagnostic accuracy and efficiency, reducing reliance on manual interpretation by radiologists.

A large BART model from Facebook fine-tuned on the CNN/DailyMail dataset for tasks like text summarization, providing detailed and coherent summaries.

This model predicts loan approvals by analyzing applicant data using advanced machine learning techniques. It incorporates thorough data preprocessing, feature engineering, and optimized classifiers to accurately determine loan eligibility, enabling more effective and reliable lending decisions