🔐 Run-Time Error

Intelligent Fraud Detection Platform

Powered by Machine Learning & Blockchain

🚧 This is an active, working project currently in progress. Features are being continuously developed and improved.

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📌 Overview

Run-Time Error is a full-stack intelligent fraud detection platform that combines Machine Learning and Blockchain principles to identify suspicious financial activities in real time.

The system uses a Flask-based backend to process incoming transaction data, applies trained ML models for prediction, and leverages blockchain concepts to maintain transparency, immutability, and security of records.

Built with ❤️ by Team SATA core

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✨ Features

• 🤖 ML-Powered Detection — Trained models predict fraudulent transactions with high accuracy
• ⛓️ Blockchain Integration — Immutable record-keeping for audit trails and transparency
• ⚡ Real-Time Analysis — Instant flagging of suspicious financial activities
• 🌐 Full-Stack Architecture — Seamless frontend + backend + model pipeline
• 🔒 Rate Limiting — Built-in API protection with Flask-Limiter
• 🌍 Cross-Origin Support — Flask-CORS enabled for flexible frontend deployment

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🗂️ Project Structure

RUN-TIME-ERROR-FINAL/
│
├── frontend/          # UI — HTML, CSS, JavaScript
├── backend/           # Flask REST API
├── model/             # ML model training & inference
├── requirements.txt   # Python dependencies
└── README.md

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🛠️ Tech Stack

Layer	Technology
Frontend	HTML, CSS, JavaScript
Backend	Python, Flask, Flask-CORS, Flask-Limiter
ML	scikit-learn, pandas, numpy
Database	PostgreSQL (psycopg2)
Deployment	Vercel (frontend), Gunicorn (backend)

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🚀 Getting Started

Prerequisites

• Python 3.x
• pip
• Node.js (optional, for frontend tooling)

Installation

1. Clone the repository

   git clone https://github.com/Arnxvvv/RUN-TIME-ERROR-FINAL.git
   cd RUN-TIME-ERROR-FINAL

2. Install Python dependencies

   pip install -r requirements.txt

3. Run the backend

   cd backend
   flask run

4. Open the frontend

   Open frontend/index.html in your browser, or serve it via a local server.

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🌐 Live Demo

Check out the deployed app here: run-time-error-final.vercel.app

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📦 Dependencies

flask
Flask-Cors
scikit-learn
pandas
numpy
gunicorn
psycopg2-binary
requests
Flask-Limiter==3.8.0
pytz

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👥 Team

Made with passion by Team SATA core 🚀

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If you found this project helpful, please consider giving it a ⭐ on GitHub!