BreastGuard AI: Advanced Breast Cancer Detection for Final Year Projects with Source Code

BreastGuard AI: Advanced Breast Cancer Detection for Final Year Projects with Source Code

AI-powered breast ultrasound classification system using SVM machine learning. Perfect Python final year project classifying tumors as benign, malignant, or normal with 97% accuracy and full source code.

Technology Used

Python 3.10.11 | Flask | Scikit-learn | OpenCV | NumPy | Matplotlib | Seaborn | HTML5 | CSS3 | JavaScript

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BreastGuard AI – AI Final Year Project for Breast Cancer Classification

BreastGuard AI is a powerful AI final year project developed using Python and Machine Learning to classify breast ultrasound images into Benign, Malignant, or Normal categories. This project is designed specifically for students looking for final year projects with source code in Artificial Intelligence and Medical Imaging domains.

The system uses advanced image preprocessing techniques and applies Machine Learning models such as Logistic Regression, K-Nearest Neighbors, and Support Vector Machine (SVM). After model comparison and hyperparameter tuning using GridSearchCV, the optimized SVM model achieves high accuracy in tumor classification.

Key Features

  • 3-Class Breast Cancer Classification (Benign, Malignant, Normal)
  • Image preprocessing using OpenCV (Grayscale, Resize 128x128, Flattening)
  • StandardScaler normalization for improved accuracy
  • SVM model tuned using GridSearchCV
  • Confidence score and probability output
  • Interactive Flask web interface
  • Model comparison: Logistic Regression, KNN, and SVM
  • Complete project report, PPT, and research paper included

Machine Learning Workflow

The uploaded ultrasound image undergoes grayscale conversion, resizing to 128x128 pixels, and flattening into 16,384 features. These features are normalized using StandardScaler before being passed to the trained SVM classifier. The model then predicts the tumor class and returns probability-based confidence scores.

This makes it one of the best AI final year projects for students in Computer Science, Artificial Intelligence, Data Science, and Biomedical Engineering.

Applications

  • Medical Image Analysis Research
  • Healthcare AI Systems
  • Diagnostic Support Tools
  • Machine Learning Academic Demonstrations
  • Computer Vision Research Projects

What You Will Get

  • Complete Source Code
  • Trained Machine Learning Model (.pkl files)
  • Dataset structure guidance
  • Detailed Project Report (Word format)
  • Research Paper Format
  • PowerPoint Presentation (PPT)
  • Installation and setup support

Why Choose This Project?

If you are searching for a Python final year project with real-world AI implementation, BreastGuard AI is a complete solution. It combines image processing, machine learning, model evaluation, and web deployment in one integrated system.

Explore more final year projects at CodeAj Marketplace and get complete implementation guidance and documentation support.

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Project Setup

We'll install and configure the project on your PC via remote session (Google Meet, Zoom, or AnyDesk).

Source Code Explanation

1-hour live session to explain logic, flow, database design, and key features.

Want to know exactly how the setup works? Review our detailed step-by-step process before scheduling your session.

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Custom Documents (College-Tailored)

  • Custom Project Report: β‚Ή1,200
  • Custom Research Paper: β‚Ή1000
  • Custom PPT: β‚Ή500

Fully customized to match your college format, guidelines, and submission standards.

Project Modification

Need feature changes, UI updates, or new features added?

Charges vary based on complexity.

We'll review your request and provide a clear quote before starting work.

Project Files

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  • βœ“ Documentation
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