AI/ML Portfolio
Comparison of four machine learning models and two deep learning models for breast cancer prediction, with a strong focus on recall to minimize false negatives in diagnosis.
Built a real-time object detection web application using a fine-tuned YOLOv8n model, deployed with Flask. The system detects and labels objects from uploaded images with bounding boxes and confidence scores.
Built an abstractive text summarization web application using the T5-small transformer model. The system generates concise summaries from long-form text through a Flask-based interface.
