Anomalyze

About • Features • Tech Stack • Requirements • Getting Started • Architecture • Future Scope • License

## :dart: About **Anomalyze** is a real-time anomaly detection system built to assist banking professionals in identifying suspicious financial activities. The platform analyzes transactions using predefined and extensible rules, flags anomalies instantly, and presents actionable insights through a clean and intuitive interface. ## :sparkles: Features * Real-time transaction anomaly detection to identify suspicious activities instantly * Configurable rule based analysis engine tailored to banking requirements * Comprehensive transaction history tracking to support investigations * Actionable insight generation for enhanced decision making * Automated report generation system for efficient documentation ## :rocket: Tech Stack Languages: TypeScript Frameworks/Libraries: React Native, Node.js, Expo Database: Supabase Cloud & DevOps: Expo EAS (Build & Deployment), UptimeRobot (Monitoring) ## :white_check_mark: Requirements Before starting, ensure you have the following installed: - Git - Node.js - Yarn or npm - Expo ## ⚙️ Installation & Setup ### 1. Clone the repository git clone https://github.com/DE-IGNIS/Anomalyze cd Anomalyze ### 2. Install dependencies npm install ### 3. Setup Supabase - Create a project on Supabase - Get your **Project URL** and **Anon Key** - Create a `.env` file in the root: VITE_SUPABASE_URL=your_project_url VITE_SUPABASE_ANON_KEY=your_anon_key ### 4. Run the development server npm run dev ## :gear: Architecture ## :chart_with_upwards_trend: Future Scope * [ ] AI/ML-based anomaly detection beyond rule-based systems * [ ] Integration with banking APIs and external financial data providers * [ ] Real-time alerts and notification system * [ ] Analytics and trends dashboard for data visualization * [ ] Role-based access control for enterprise-level usage ## 📝 License This project is licensed under the **MIT License** — see the [LICENSE](LICENSE) file for details. MIT License · Copyright (c) 2026 DARSYN Back to top

标签：自动化攻击