🧠 Scanix AI - Brain Tumor Detection

When AI meets healthcare and it's actually fire 🔥

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💀 What's This About?

We built an AI that can spot brain tumors faster than you can say. Upload your brain scan, get results in seconds.

TL;DR: AI-powered brain tumor detection with 96% accuracy. Built different.

✨ Features That Hit Different

• 🎯 96% Accuracy - This AI doesn't miss
• ⚡ Lightning Fast - Results in seconds, no waiting around
• 📱 Mobile First - Looks clean on every device
• 🔒 Privacy King - Your data stays yours, period
• 🎨 UI That's Fire - Dark mode aesthetic that goes hard
• 🧪 Sample Images - Test it out with our brain scans

🛠️ Tech Stack (The Good Stuff)

Frontend (The Pretty Part)

React 19        - Because we stay current 
Tailwind CSS    - Making it look expensive 
Lucide Icons    - Clean icons that don't miss 
Vite           - Build tool that's actually fast 

Backend (The Brain)

datasets        - Hugging Face
Python Flask    - Simple but powerful 
Scikit-learn   - ML that actually works 
Pillow         - Image processing queen
Vercel         - Serverless deployment king 

🚀 Quick Start (Get It Running)

Option 1: Just Use It (Recommended)

Visit scanix-ai.netlify.app and start uploading! No setup needed

Option 2: Run It Locally (For Devs)

Backend Setup:

# Clone this masterpiece
git clone https://github.com/Ansh-dhanani/Scanix_AI.git
cd Scanix_AI

# Install Python deps
pip install -r requirements.txt

# Start the Flask server
python api.py

Frontend Setup:

# Navigate to frontend
cd frontend

# Install the goods
npm install

# Start dev server
npm run dev

Visit http://localhost:5173 and you're golden! 🌟

📸 Screenshots (Because Visuals Matter)

Home Page

Clean, minimal, gets straight to the point

Results Page

Shows predictions with confidence scores - no guessing

About Page

Meet the devs who made this happen

🎯 How It Works (The Magic)

1. Upload your brain scan (PNG, JPG, JPEG)
2. AI analyzes the image using our trained model
3. Get results with confidence percentage
4. That's it - no complicated steps

👥 The Squad Behind This

🔥 Manan Panchal - Backend Wizard

• Python Flask master
• ML model trainer
• The one who made the AI actually work
• GitHub: @mananjp

✨ Ansh Dhanani - Frontend Artist

• React.js specialist
• UI/UX designer
• Made it look this good
• GitHub: @Ansh-dhanani

🚨 Important Disclaimer (Read This!)

This is for educational purposes only! Don't use this instead of seeing a real doctor. We're good, but we're not replacing medical professionals. Always consult healthcare experts for real medical decisions!

🤝 Want to Contribute?

We're always down for contributions! Here's how:

1. Fork the repo
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📱 Connect With Us

• 💼 LinkedIn: Hit us up for collabs
• 📧 Email: mananpanchal11@gmail.com | dhananiansh01@gmail.com
• 🐙 GitHub: Follow for more projects

📄 License

This project is open source and available under the MIT License.

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Made with ❤️ and lots of ☕ by two devs who wanted to make healthcare AI accessible

P.S. - If this helped you or you think it's cool, drop a ⭐ on the repo. It means the world to us!