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Smart E-Banking Transactions

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

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About this project

Smart E-Banking Transactions

Objective: Design and implement a secure web-based e-banking transaction system.

Context: With the rapid digitalization of banking in India, ensuring secure and user-friendly online transactions is critical to prevent fraud and build customer trust. Robust e-banking systems are essential for financial inclusion and economic growth.

What you'll build: You'll develop a full-stack web application using Python (Django), JavaScript, or Java (Spring Boot), integrating secure login, authentication, and encrypted transactions. The system will connect to SQL/NoSQL databases and bank transaction APIs, featuring fraud detection algorithms and a responsive user interface.

Deliverables: Secure e-banking prototype, source code, database schema, and a technical report detailing security features and fraud detection logic.

Milestones

No submission required for this milestone.

2. Requirement Analysis and Architecture Design

5 marks 2d

Submit a detailed requirements document outlining user stories, core features (e.g., account management, transaction history, transfers), and security needs. Provide an architecture diagram showing system components (frontend, backend, database, API integrations) and describe technology choices. Done means your documentation clearly maps requirements to architecture, enabling straightforward implementation.

3. Frontend and Backend Setup

5 marks 3d

Set up the project's frontend (e.g., React, Angular) and backend (e.g., Node.js, Django) frameworks. Connect the backend to a database (e.g., PostgreSQL, MongoDB) and ensure the frontend can communicate with backend endpoints. Done means you provide a working codebase with basic navigation and a test API call demonstrating end-to-end connectivity.

4. Secure Login and Authentication Module

5 marks 5d

Implement a secure user login system using industry-standard authentication (e.g., JWT, OAuth). Ensure password storage uses hashing, and session management prevents unauthorized access. Done means users can register, log in, and log out securely, with authentication enforced on protected routes and all security measures documented.

5. Integration with Bank Transaction APIs

5 marks 5d

Integrate your backend with at least one real or mock bank transaction API to fetch account balances and transaction history. Document API endpoints and handle authentication securely. Done means you can retrieve and display transaction data for authenticated users, with error handling for failed API calls.

6. Implementation of Fraud Detection Algorithms

5 marks 5d

Develop and integrate fraud detection algorithms (e.g., rule-based or machine learning) that analyze transactions for suspicious patterns. Document the logic or model used and provide sample flagged transactions. Done means your system automatically evaluates new transactions and clearly identifies potential fraud cases in the user interface or logs.

7. Testing, Debugging & Optimization

10 marks 5d

Conduct comprehensive testing of all modules, including unit, integration, and security tests. Debug issues, optimize performance, and document test coverage. Done means you submit test results, bug fixes, and performance benchmarks, demonstrating that the application is robust, secure, and meets all functional requirements.

8. Final Deployment and Demo

15 marks 5d

Deploy your complete e-banking application to a cloud platform (e.g., AWS, Heroku) with all features operational. Prepare a demo video or live walkthrough showing secure login, transaction retrieval, and fraud detection in action. Done means the deployed app is accessible, stable, and your demo clearly demonstrates all core functionalities.

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Upcoming sessions

Session	Window	Enrolled
Smart E-Banking Transactions	11 Jun 2026 to 10 Jun 2028	0

Skills you'll learn

Secure Web Development (HTMLCSSJavaScriptbackend frameworks)Database Management (SQL/NoSQL)Cybersecurity fundamentals (encryptionauthentication)Machine Learning (for fraud detection and transaction pattern analysis)API Integration (for banking services)Mobile App Development (optional)

Tools used

Languages: PythonJavaScriptJava Frameworks: Django / Spring Boot / Node.js Databases: MySQL / PostgreSQL / Firebase Machine Learning Libraries: Scikit-learnTensorFlow Tools: PostmanGitHubAndroid Studio (if mobile app) APIs: Banking APIs (sandboxed for demo)

Prerequisites

Basic understanding of banking systems and transaction flows Programming knowledge (PythonJavaor PHP) Experience with relational databases Familiarity with cybersecurity concepts

Available mentors

Priyang Kumar

Free

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