American Express Makeathon 2024

Overview

Next-gen loyalty programs aim to revolutionize traditional loyalty systems by offering personalized, tech-driven experiences that go beyond conventional reward systems. By leveraging data analytics, artificial intelligence, and mobile technology, businesses can engage customers in real-time, anticipate their needs, and offer relevant rewards and incentives tailored to individual preferences.

Tech stack

• Open to all
• Examples for your reference only
• Data analytics tools: Python, R
• Machine learning frameworks: TensorFlow, PyTorch
• Mobile app development: iOS, Android
• Cloud computing platforms: AWS, Azure
• Database management systems: MySQL, MongoDB

Tasks

• Design an algorithm to analyze customer data and identify personalized reward recommendations.
• Develop a solution that has an interface for customers to access loyalty program features and rewards.
• Implement real-time engagement strategies to interact with customers based on their behavior and preferences.
• Integrate backend systems to manage customer accounts, transactions, and rewards.
• Test and optimize loyalty program features for usability, performance, and scalability.

Submission format

• Project description (mandatory)
• Presentation (mandatory) [Idea Submission Template (for reference)]
• Any other documentation or file related to the proposed solution
• Video and link of the project 

Resources

• MySQL documentation
• NextGen loyalty program

Overview

Financial technology applications handle sensitive user data, including personal and financial information. Ensuring the highest security and privacy of this data is critical to building trust with users and complying with regulatory requirements. 

The challenge is to create solutions that integrate state-of-the-art encryption, authentication, and access control mechanisms to safeguard user data from unauthorized access, breaches, and cyber attacks. These solutions should also incorporate robust monitoring and incident response capabilities to detect and respond to security threats in real-time, minimizing the risk of data breaches and protecting user privacy.

Tech stack

• Open to all 
• Examples for your reference only
• Encryption algorithms: AES, RSA
• Authentication protocols: OAuth, OpenID Connect
• Access control mechanisms: Role-based access control, Attribute-based access control      
• Security frameworks: NIST Cybersecurity Framework
• Security monitoring tools: SIEM, Network Security Monitoring (NSM)

Tasks

• Implement end-to-end encryption for sensitive data transmission and storage.
• Integrate multi-factor authentication and biometric authentication for user authentication.
• Develop role-based access control mechanisms to restrict access to sensitive data based on user roles and privileges.
• Conduct vulnerability assessments and penetration testing to identify and remediate security vulnerabilities.
• Deploy security monitoring tools to detect and respond to suspicious activities and security incidents in real-time.

Submission format

• Project description (mandatory)
• Presentation (mandatory) [Idea Submission Template (for reference)]
• Any other documentation or file related to the proposed solution
• Video and link of the project 

Resources

• NIST Cryptographic Toolkit
• PCI Security Standards Council
• NIST RBAC Model

Overview

Sustainable Banking Solutions address the increasing demand for eco-friendly financial services that align with environmental conservation goals. These solutions aim to promote sustainability by integrating green practices into banking products and services. 

By offering digital platforms, green investment options, and sustainability-focused lending programs, banks can empower customers to make environmentally conscious financial decisions and contribute to a more sustainable future.

Tech stack

• Open to all
• Examples for your reference only
• Web development technologies: HTML, CSS, JavaScript
• Mobile app development frameworks: React Native, Flutter
• Cloud computing platforms: AWS, Google Cloud Platform
• Data analytics tools: Python, Tableau
• Blockchain technology for transparent and secure transactions
• Sustainable finance APIs for integrating green investment options
• Geospatial data analysis tools for assessing environmental impact

Tasks

• Design and develop user-friendly digital banking platforms with features for paperless transactions, e-statements, and electronic signatures.
• Implement green investment options, such as renewable energy funds, carbon offset programs, and sustainable index funds, into banking products.
• Create sustainability-focused lending programs that offer favorable terms for environmentally friendly businesses and projects.
• Integrate data analytics tools to track and analyze the environmental impact of banking activities and customer transactions.
• Create a solution which provides transparent and secure transactions, including carbon credit trading and sustainable supply chain finance.

Submission format

• Project description (mandatory)
• Presentation (mandatory) [Idea Submission Template (for reference)]
• Any other documentation or file related to the proposed solution
• Video and link of the project 

Resources

• Global Alliance for Banking on Values
• DataCamp
• Amazon Web Services (AWS)

Overview

Financial literacy is crucial for individuals to navigate the complexities of personal finance effectively. However, many people lack the necessary knowledge and skills to make informed financial decisions, leading to challenges such as debt, inadequate savings, and poor investment choices. 

The goal of this challenge is to develop educational solutions that enhance financial literacy and empower individuals to manage their finances wisely. These solutions should cover essential topics like budgeting, saving, investing, debt management, and retirement planning, catering to people of all ages and backgrounds.

Tech stack

• Open to all
• Examples for your reference only 
• Web development technologies: HTML, CSS, JavaScript
• Backend development frameworks: Node.js, Django, Flask
• Database management systems: MySQL, PostgreSQL
• Data visualization libraries: D3.js, Chart.js
• Mobile app development frameworks: React Native, Flutter

Tasks

• Design user-friendly interfaces for financial education platforms, ensuring accessibility and inclusivity.
• Develop interactive learning modules covering various financial topics, including budgeting, saving, investing, and retirement planning.
• Implement gamification elements to make learning fun and engaging for users of all ages.
• Integrate real-world examples and case studies to demonstrate practical financial concepts and strategies.
• Provide personalized recommendations and feedback based on user interactions and progress.
• Ensure security and privacy of user data through robust data encryption and protection measures.

Submission format

• Project description (mandatory)
• Presentation (mandatory) [Idea Submission Template (for reference)]
• Any other documentation or file related to the proposed solution
• Video and link of the project 

Resources

• Khan Academy - Personal Finance
• MoneySmart - Financial Literacy
• freeCodeCamp - Web Development
• Data Visualization Society

Overview

Innovative Fraud Detection aims to develop advanced solutions that can detect and prevent fraudulent activities in real-time. 

These solutions should use technologies such as machine learning, predictive analytics, and behavioral biometrics to analyze transaction data, identify suspicious patterns, and minimize false positives. 

By enhancing the security of financial transactions, these systems protect customers from fraud and identity theft while maintaining the integrity of the financial ecosystem.

Tech stack

• Open to all
• Examples for your reference only 
• Machine learning frameworks: TensorFlow, scikit-learn
• Predictive analytics tools: IBM SPSS Modeler, Oracle Analytics Platform
• Real-time data processing systems: Apache Kafka ,Google cloud dataflow
• Cloud computing platforms: AWS, Google cloud, Azure
• Database management systems: MySQL, MongoDB

Tasks

• Design and develop machine learning models for fraud detection using transaction data.
• Implement real-time data processing systems to analyze large volumes of transaction data.
• Integrate behavioral biometrics technology to enhance fraud detection accuracy.
• Test and evaluate the performance of the fraud detection system using simulated and real-world datasets.
• Optimize the system for scalability, efficiency, and reliability in handling high transaction volumes.

Submission format

• Project description (mandatory)
• Presentation (mandatory) [Idea Submission Template (for reference)]
• Any other documentation or file related to the proposed solution
• Video and link of the project 

Resources

• Apache Kafka
• Apache Flink
• Amazon Web Services (AWS)
• Microsoft Azure
• Behavioral Biometrics in Fraud Detection
• Predictive Analytics World

Overview

A travel activity planner aims to simplify the process of planning a day itinerary in a new city or destination. Using generative AI technology, this tool generates personalized day plans based on travelers' preferences, interests, and budget constraints. It should recommend places to visit, activities to do, restaurants to dine at, and transport options to get around, providing a comprehensive guide for a memorable travel experience. 

Additionally, the tool should highlight activities and discounts or offers available to card members, enhancing the value proposition for users.

Tech stack

• Open to all
• Examples for your reference only
• Generative AI frameworks- OpenAI GPT, Transformers
• Location-based services APIs- Google Maps API
• Database management systems- MySQL, MongoDB
• Web development technologies for user interfaces- HTML/CSS, JavaScript

Tasks

• Design and develop a generative AI model capable of generating personalized travel itineraries.
• Integrate location-based services APIs to retrieve information about attractions, restaurants, and transport options.
• Implement algorithms to prioritize and recommend activities based on traveler’s preferences and interests.
• Create a user-friendly interface for travelers to input their preferences and view generated day plans.
• Test and optimize the travel activity planner for accuracy, relevance, and usability.

Submission format

• Project description (mandatory)
• Presentation (mandatory) [Idea Submission Template (for reference)]
• Any other documentation or file related to the proposed solution
• Video and link of the project 

Resources

• Open AI GPT 
• W3Schools
• HERE Location Services

Overview

Automated financial planning aims to simplify the process of financial planning and wealth management for individuals by using generative AI technology. 

This tool should analyze user’s financial data, identify their financial goals and priorities, and recommend personalized strategies to achieve them. It provides features such as budget tracking, goal setting, investment portfolio management, and retirement planning, helping users make informed financial decisions and achieve long-term financial success.

Tech stack

• Open to all
• Examples for your reference only 
• Generative AI frameworks: TensorFlow, PyTorch
• Data analytics tools: Python, R    
• Web development technologies: HTML/CSS, JavaScript
• Cloud computing platforms: AWS, Azure
• Database management systems: MySQL, MongoDB

Tasks

• Design and develop machine learning algorithms to analyze users' financial data and identify their financial goals.
• Implement features for budget tracking, goal setting, investment portfolio management, and retirement planning.
• Integrate user-friendly interfaces for users to input financial data, set goals, and monitor progress.
• Ensure security and privacy of user’s financial information through robust authentication and encryption mechanisms.

Submission format

• Project description (mandatory)
• Presentation (mandatory) [Idea Submission Template (for reference)]
• Any other documentation or file related to the proposed solution.
• Video and link of the project 

Resources

• OWASP (Open Web Application Security Project)
• Investopedia
• Azure Official Website