AI Fraud Call Detection App: Real-Time AI Call Monitoring

This spam call detector protects users from scam calls by analyzing live conversations with AI to detect suspicious speech patterns in real time. It helps seniors, vulnerable groups (who are frequently targeted by scam callers), and smartphone users communicate safely, while offering a future-ready platform for telecom integration.

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OVERVIEW

Project Overview

Scam callers are becoming increasingly clever, often targeting elderly people with deceptive tactics. Our goal was to create a solution that provides real-time fraud detection, proactively alerts users to suspicious calls as they happen, and ensures every conversation is safe and worry-free.

We built the Fraud Call detection app to offer users instant, real-time alerts during live calls. Its AI engine monitors conversations with real-time AI voice analysis to detect suspicious keywords and patterns, notifying users immediately if a call seems fraudulent. Clear, easy-to-understand pop-ups allow users to end the call, continue safely, or block the number, giving them control and confidence in every conversation.

Built on a combination of a custom local keyword detection model, GPT-4o analysis, and secure telephony integration, the app detects suspicious activity during live calls with minimal latency. From real-time alerts to intelligent call and contact management, it was designed to deliver fast, reliable, and scalable fraud protection for every user.

Key Features

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01.

Real-Time AI Fraud Detection

The app continuously analyzes live calls to detect suspicious keywords and scam patterns, alerting users instantly when fraud risk is identified. This ensures proactive protection, helping users stay ahead of evolving scam tactics rather than reacting after the damage is done.

02.

Smart In-Call Alerts

Clear, real-time pop-ups along with a gentle vibration warn users of potential scams, giving them the choice to end, continue, or block callers for safer decision-making. By placing this control directly in the user’s hands, the app makes every call more secure and far less stressful.

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03.

Call History and Contact Management

Users can add, edit, or save contact numbers, in addition to blocking suspicious numbers, and manage contacts with ease, ensuring a more secure and organized calling experience. With this complete call management system, users can maintain a trusted contact list while reducing exposure to fraudulent callers.

Features at a Glance

  • trumanReal-time AI fraud detection

    trumanSmart in-call alerts

    trumanCall history and contact management

    trumanSecure profile and password recovery

    trumanIntegrated FAQ and support

    trumanSpam call protection

    trumanSecure profile and account management

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Project Challenges and Their Solutions

1. Reducing Latency and Optimizing Costs

Challenges

Running every call transcript through GPT for fraud detection introduced significant latency and drove up token usage, resulting in higher operational costs.

SOLUTIONS

To address this, we built a custom local keyword detection AI model as the first layer of analysis. New keywords can be easily added or removed in this model, allowing us to refine datasets without heavy overhead. Calls that cannot be confidently analyzed at this stage are routed to GPT-4o for deeper inspection. This hybrid framework reduced response time, optimized costs, and preserved the high accuracy required for real-time fraud detection.

2. Default Dialer Integration

Challenges

A key requirement was enabling the app to function as the default dialer on Android devices. This was critical, as real-time fraud detection depends on the ability to directly manage incoming and outgoing calls. The challenge was how the dialer-level access requires deep integration with Android’s telecom framework, which is not fully supported by cross-platform tools like React Native.

SOLUTIONS

To achieve this, nearly 70% of the codebase was developed in Java, utilizing Android’s native telecom and telephony APIs. This allowed the app to handle essential dialer functions such as call management, overlays, and fraud alerts without limitations. React Native was later used to manage non-critical components like onboarding, profile, and FAQs, combining native-level performance with the development speed of a cross-platform framework.

3. Real-Time Call Transcription

Challenges

Generating real-time transcripts of calls proved to be a significant challenge on Android. Without transcripts, detecting fraud accurately was nearly impossible.

SOLUTIONS

Twilio integration was implemented to route calls through a secure conference number, generating compliant live transcripts. The local AI model performed initial analysis, and GPT-4o handled deeper review of flagged calls, ensuring accurate and legal real-time fraud detection.

Technology Stack

React Native

Chosen to speed up development and provide a consistent, intuitive mobile experience across Android devices.

JAVA

Powers native Android dialer integration, enabling call management, overlays, and real-time fraud alerts with telecom API support.

Node.js

Powers backend services for fast, reliable handling of user requests and real-time data.

PostgreSQL & Redis

Ensure secure, organized storage of user and call data, while enabling quick access to information when needed.

GPT-4o

Analyzes voice and language in real time to identify suspicious patterns and provide instant alerts.

AWS

Provides scalable, secure, and low-latency cloud infrastructure to support seamless real-time protection for all users.

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