₹199

AI Credit Card Fraud Detection App – Python + KivyMD + ML UI App

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AI Credit Card Fraud Detection App – Python + KivyMD + ML UI App

AI Credit Card Fraud Detection App – Python + KivyMD + ML UI App Source Code

📥 Instant File Download


💰 Price: ₹199 (One-Time Purchase)

📂 Category: Machine Learning, Data Science, Mobile App, Finance


🔓 Unlock the Power of Machine Learning with This Sleek Fraud Detection App!

This ready-to-deploy AI-powered Credit Card Fraud Detection App is built using Python, KivyMD, and scikit-learn. Perfect for MCA/B.Tech students, Python developers, and AI enthusiasts, it lets you load credit card datasets, train a fraud detection model, and visualize real-time results — all from a professional-looking UI.


✅ Key Features

📁 CSV Upload – Select datasets instantly with MDFileManager


🤖 One-Click ML Training – Random Forest Classifier (100 trees)


📊 Real-Time Metrics – See precision, recall, F1-score, and accuracy


📉 Smart Preprocessing – Balances data + StandardScaler included


🖤 Modern Dark Theme – Clean KivyMD UI (Mobile & Desktop friendly)


🛠️ Developer-Friendly – Modular code, ready for customization


🎁 What You Get

✅ Full Source Code (Python, KivyMD, scikit-learn, pandas)


✅ Setup Guide (Run & Customize Easily)


✅ Dataset Links (e.g., Kaggle Credit Card Fraud Dataset)


✅ Support via Email or Gumroad Messaging


👥 Who’s It For?

🎓 Students – Final-year projects (MCA/B.Tech AI/ML)


👨‍💻 Developers – Build real-world finance tools


📈 Learners – Master preprocessing, scikit-learn & KivyMD


🚀 Startups – Prototype fraud detection systems


⚙️ Requirements

Python 3.9+


Kivy, KivyMD, scikit-learn, pandas


Runs on Desktop | Convert to Android via Buildozer


🔥 Why Buy Now?

✅ Stand Out – Strong GitHub & Resume project


✅ Learn by Doing – Full ML pipeline experience


✅ Get Instant Download – Start in 2 minutes


✅ Proven Stack – scikit-learn + KivyMD are industry-backed


📸 Screenshots

Add 3-4 screenshots of:


App Home (Dark Theme)


File Manager (CSV selection)


Training in Progress


Results Metrics (colored F1-score, etc.)


💬 Support

Need help? Email support or use Gumroad’s messaging – we’re happy to assist!


🚀 Boost Your AI Skills & Portfolio Today!

Master fraud detection with this complete KivyMD + ML mobile app source code. Whether you're learning, building a resume, or launching a prototype, this app gives you a head start in AI development.


🏷 Tags

Python App, KivyMD, AI Project, Credit Card Fraud, Machine Learning, Student Project, Mobile App

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Detect credit card fraud in real-time using machine learning — all from a mobile-friendly Python app built with KivyMD. This project is perfect for students, developers, and machine learning enthusiasts looking to learn, showcase, or submit a real-world AI solution. Whether you're preparing for a hackathon, final-year project, or building a portfolio, this app gives you hands-on experience with: ✅ Loading and visualizing financial datasets ✅ Preprocessing and scaling input data ✅ Training a Random Forest classifier ✅ Generating fraud vs genuine prediction reports ✅ Plotting classification metrics (precision, recall, F1-score) Includes: Full Python source code KivyMD UI with screen navigation Matplotlib-powered plots CSV file manager integration Setup instructions 🎓 Ideal for: Students, AI beginners, freelance developers, data science learners, and anyone looking to add a real-world ML app to their resume!

Platform
Python(KivyMD)
Maahine Learning
Random Forest Classifier
UI Framework
KivyMD
Includes
Full source code,CSV support,ML report,Bar plot
Skill Level
Beginner, Intermediate
Project Type
Final Year Project/Data Science App
File Type
.zip (Contains .py, .csv, README.md)
Compatible OS
Windows, Linux, Android(via Kivy)
Libraries used
pandas, sklearn, matplotlib, kivymd
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