This project demonstrates that transfer learning dramatically outperforms training from scratch on small-to-medium image datasets, providing a practical blueprint for similar classification tasks. Raw ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Transfer learning pipeline for 5-class flower recognition using a pretrained ResNet18 backbone with a fine-tuned classification head — trained on the Kaggle Flowers Dataset, achieving ~85% validation ...

Completed 3 Data Science projects during the CODSOFT Internship using Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn. Projects include Titanic Survival Prediction, Movie Rating ...

Beyond classification, we will employ deep learning techniques to analyze disease severity through lesion quantification, implement image enhancement algorithms, and develop metrics for assessing ...