This project is a mobile application built using Flutter that classifies breast cancer malignancy from tumour biopsy features using a trained machine learning model. The app is designed to provide real-time predictions, making the model accessible beyond a research environment.
This work is part of a broader effort to build end-to-end solutions—from raw data analysis to a fully deployed application—ensuring that machine learning systems can reach and benefit real users instead of remaining confined to notebooks.
📊 Real-time breast cancer prediction (Benign / Malignant)
📱 Clean and responsive Flutter UI
🤖 Integrated machine learning model
⚡ Fast inference directly on mobile (or via API, depending on implementation)
🧪 Based on a publicly available clinical dataset\
Publicly available breast cancer dataset (e.g., Wisconsin Diagnostic Dataset)
Contains tumour features such as radius, texture, smoothness, etc.