🧠 BrainTumorAI — AI-Powered Brain Tumor Detection System

BrainTumorAI is an advanced medical AI web application that detects brain tumors from MRI images using deep learning.
The system leverages YOLOv8 object detection to accurately localize tumors and presents results through a modern, user-friendly Flask web interface.

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🎯 Objective

To design and develop an AI-based brain tumor detection system that can automatically analyze MRI images and highlight potential tumor regions, helping in early detection and medical research support.

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❗ Problem Statement

Manual analysis of brain MRI scans is:

• Time-consuming
• Prone to human error
• Dependent on expert availability

Early and accurate tumor detection is critical, but manual screening can delay diagnosis.

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💡 Proposed Solution

BrainTumorAI provides an automated AI-driven solution that:

• Accepts brain MRI images (JPG / PNG)
• Uses YOLOv8 deep learning model for tumor detection
• Draws bounding boxes around detected tumor regions
• Displays uploaded and predicted images side-by-side
• Offers a clean, responsive, and modern UI
• Ensures fast inference and privacy-friendly processing

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🔄 System Workflow

1. Upload brain MRI image
2. Image preprocessing
3. YOLOv8 model inference
4. Tumor region detection
5. Bounding-box visualization
6. Display results to user

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🧠 Deep Learning Techniques Used

• Convolutional Neural Networks (CNN)
• YOLOv8 Object Detection
• Image preprocessing with OpenCV
• Confidence-based prediction filtering

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🛠️ Tech Stack

🔹 Backend

• Python
• Flask
• Ultralytics YOLOv8
• OpenCV
• NumPy

🔹 Frontend

• HTML5
• CSS3
• Bootstrap 5
• Animate.css

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⭐ Key Features

• Brain tumor detection from MRI images
• YOLOv8-based bounding box visualization
• Fast and accurate AI inference
• Upload & predicted image comparison
• Modern red-pink gradient UI
• Frequently Asked Questions (FAQ) section
• Deployable on Render / Replit

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📊 Output

• Original uploaded MRI image
• Detected tumor image with bounding boxes
• Visual AI-assisted diagnosis output

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🌐 Live Demo

🚀 Try BrainTumorAI Live Experience real-time AI-powered brain tumor detection directly in your browser:

🔗 Live Application: 👉 https://braintumor-ai.onrender.com

🚀 Quick Start — Clone & Run

1️⃣ Clone Repository

git clone https://github.com/Ankitaghavate/BrainTumorAI.git
cd BrainTumorAI

2. Create a virtual environment (recommended)

python -m venv venv
# Windows
venv\Scripts\activate
# macOS/Linux
source venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Run the Flask application

python app.py

5. Open in your browser

http://127.0.0.1:5000/

🤝 Contributing

Contributions are welcome! To contribute:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/YourFeature)
3. Commit your changes (git commit -m 'Add some feature')
4. Open a Pull Request

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