Atoma Application


Problem Statement: Develop a comprehensive banking tool that automates various banking processes, including customer onboarding, account management, loan processing, and fraud detection, among others.

Target Audience: The target audience for this app is banks and financial institutions that are looking to streamline their operations, reduce costs, and improve customer experience.

Design and Development:

The app should have a user-friendly interface that is easy to navigate, with clear and prominent call-to-action buttons. The user interface should be optimized for desktop and mobile devices, allowing customers to access the app from anywhere.

The app should be developed using modern web technologies such as React, Node.js, and GraphQL. It should be designed with scalability in mind, allowing the app to handle large volumes of transactions and users.


  1. Customer Onboarding: The app should provide features for seamless customer onboarding, including KYC (Know Your Customer) verification, ID verification, and background checks. This should be done in compliance with relevant regulations.
  2. Account Management: The app should provide features for managing customer accounts, including balance checking, transaction tracking, and account statements. Customers should also be able to initiate transactions, such as money transfers and bill payments.
  3. Loan Processing: The app should provide features for loan processing, including loan application, credit scoring, underwriting, and disbursement. The app should also provide tools for monitoring loan performance and risk.
  4. Fraud Detection: The app should provide features for fraud detection and prevention, including transaction monitoring, anomaly detection, and identity verification. The app should also provide tools for investigating fraud cases and reporting suspicious activity.
  5. Analytics and Reporting: The app should provide tools for generating analytics and reports on banking operations, including customer behavior, transaction patterns, and risk analysis. This data should be presented in a visually appealing and easy-to-understand format, allowing banks to make data-driven decisions.
Dashboard 2.0


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