🚀 ONCO Breast Cancer Detection System (2026)

🚀 ONCO Breast Cancer Detection System (2026)

Breast cancer is one of the most serious health challenges affecting women worldwide. Early detection plays a critical role in improving survival rates and ensuring effective treatment. With advancements in Artificial Intelligence, it is now possible to build intelligent systems that assist in early diagnosis and decision-making.

In this project, we developed an AI-powered breast cancer detection system using deep learning techniques. The primary goal of this system is to support healthcare professionals by providing accurate predictions and reducing the chances of human error.

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💡 Key Features of the System

This project includes several important modules that work together to create a complete healthcare solution:

• AI-based prediction system for detecting breast cancer
• Emergency hospital locator for quick medical assistance
• Patient management dashboard for organized data handling
• Real-time analytics for monitoring and insights

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🔍 How the System Works

The system uses machine learning algorithms trained on medical datasets. These models analyze patient data and classify tumors as benign or malignant. The workflow involves data preprocessing, model training, and prediction generation.

The integration of deep learning improves accuracy and helps in identifying patterns that may not be visible through traditional methods.

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🛠 Technologies Used

• Python
• Machine Learning (Scikit-learn / TensorFlow)
• Streamlit (for building the web interface)
• Data Visualization Libraries

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🌐 Live Demo
👉 https://onco-breast-cancer-detection-system-u7lkmf5i9ksbspwwuira8q.streamlit.app/

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🔗 GitHub Repository
👉 https://github.com/upendra8690/onco-breast-cancer-detection-system

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🎯 Impact of the Project

This system demonstrates how Artificial Intelligence can be applied in the healthcare sector to assist in early diagnosis. It helps doctors make faster and more accurate decisions, ultimately improving patient outcomes and saving lives.

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👨‍💻 Developed By

Mopuru Upendra Reddy
Niveditha A
Mounika N
Nayana C

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🎓 Project Guide

Prof. Rajani Kodagali
CMR University, Bengaluru

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📌 Conclusion

This project highlights the importance of combining technology with healthcare innovation. By leveraging AI and deep learning, we can build intelligent systems that contribute to early detection and better treatment planning. In the future, such systems can be integrated into real-world hospital environments to enhance medical efficiency and patient care.

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