🚀 𝐍𝐮𝐜𝐥𝐞𝐢𝐒𝐜𝐚𝐧 𝐀𝐈

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

⚙️ 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤:

🔗 Streamlit – for building the interactive web interface

📈 Scikit-learn – used Logistic Regression for classification

⚡ Groq API – for lightning-fast model inference

🔥 Firebase – manages chat history and session storage

🗂️ GitHub – for version control and code sharing

🧠 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

🌐 Visit: https://nucleiscanai.streamlit.app/

📁 GitHub Repo: https://github.com/fachiny17/NucleiScan_AI