๐ ๐๐ฎ๐๐ฅ๐๐ข๐๐๐๐ง ๐๐
NucleiScan AI is an advanced AI-powered breast cancer diagnostics platform designed to assist pathologists and oncologists by combining deep learning analysis with clinical decision support. To develop an AI-powered clinical assistant that accurately analyzes nuclear features in breast tissue images to support early cancer detection and assist healthcare professionals in making faster, more informed diagnostic decisions
โ๏ธ ๐๐๐๐ก ๐๐ญ๐๐๐ค:
๐ Streamlit โ for building the interactive web interface
๐ Scikit-learn โ used Logistic Regression for classification
โก Groq API โ for lightning-fast model inference
๐ฅ Firebase โ manages chat history and session storage
๐๏ธ GitHub โ for version control and code sharing
๐ง This solution emphasizes the use of AI during the build process and is open-source for the community to build upon.
The real-world problem
How the solution works
The AI-driven impact
๐ Visit: https://nucleiscanai.streamlit.app/
๐ GitHub Repo: https://github.com/fachiny17/NucleiScan_AI